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Senior Software Engineer (Typescript / Backend) -...
NOTE: This role is not office-based, and the final candidate can be in any EMEA country ClickHouse hires in (such as The Netherlands, Germany, Spain, Italy, UK, or Portugal). We are looking for a Senior Software Engineer to drive the development of AI/ML-powered features in ClickHouse Cloud. In this role, you will bridge the gap between a high-performance database technology like ClickHouse and AI capabilities, implementing AI/ML integrations and end-to-end solutions from the Inference API layer to the user interface that enhance how users interact with and extract value from their data. What will you do? - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - UI/UX Implementation: Build responsive, intuitive user interfaces that make complex AI functionalities accessible and valuable to users of all technical backgrounds. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. What you bring along: - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - Strong frontend skills with TypeScript/JavaScript and React - Backend development experience in TypeScript or Python, with a focus on API design and service architecture - You have a high level of ownership and can drive features from concept to production with minimal supervision - You thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders Nice to have - Experience building data-oriented interfaces and visualizations - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus #LI-Remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
AI Operations Engineer
About the Team IT Operations at ClickHouse keeps the company's internal systems, tooling, and infrastructure running securely and efficiently — from identity and endpoint management to the platforms every team relies on to do their work. This role sits on a newly formed AI Engineering function within IT Operations, created to centralize AI Ops rather than leave it disjointed across teams. The team — a Technical Lead plus one or two AI Ops Engineers — reporting to the IT Business Systems Manager, and brings the same rigor IT Ops applies to systems and infrastructure to the design, deployment, and lifecycle management of AI solutions and the agents they power. About the Role We are looking for an AI Ops Engineer to help build and run a new AI Ops function at ClickHouse. You will work under a Technical Lead to design, build, and maintain AI-driven solutions across the business (People, Finance, Legal, and beyond) and engineering — building integrations, maintaining agents, supporting cost visibility, and helping train the org on AI best practices. This is a hands-on execution role: you will move quickly, ship real workflows, and help the team learn what works as we centralize AI Ops for the first time. Success This is a net-new function; specific goals will be set with your Technical Lead. Directionally, the team is measured on: - Measurable reduction in redundant or inefficient AI tool and model spend through right-sizing, routing, and cost visibility - A working framework for evaluating and selecting models/tools by cost, latency, accuracy, and risk, adopted across teams - Agents and AI workflows built, deployed, and maintained cross-functionally (People, Finance, Legal, Engineering, and beyond) - Improved AI fluency and literacy org-wide, measured through training participation, adoption of approved tools, and reduced shadow-AI usage - Established identity, access, audit, and lifecycle practices for AI agents that satisfy Security and GRC requirements YOU WILL Build AI-Powered Solutions - Develop and deploy solutions using LLMs, automation frameworks, and internal tooling, for both business and engineering use cases - Integrate AI into existing systems (HRIS, ATS, ERP, procurement orchestration, ticketing, CI/CD, developer tooling) and legal infrastructure like CLM or Matter Management - Build workflows such as document generation, data extraction, knowledge retrieval, and decision support across systems and knowledge bases - Use modern integration standards (e.g., MCP) to give AI models and agents direct, secure access to internal knowledge and context Support Model Evaluation - Help test and benchmark AI models against accuracy, latency, cost, and safety criteria - Support model risk assessments and due diligence alongside Security and GRC - Help implement and maintain the internal model routing solution Support Cost Visibility - Help build dashboards and reporting for AI/LLM spend across teams and tools - Implement tagging, monitoring, and alerting for cost anomalies - Identify and execute on cost-optimization opportunities (prompt efficiency, caching, model right-sizing) Maintain Agent Infrastructure - Help provision, credential, and de-provision AI agent access - Support deployment, versioning, monitoring, and retirement of agents - Maintain and patch agent infrastructure and dependencies - Help maintain audit trails and logging for agent actions Deliver Training and Enablement - Design and deliver company-wide AI training programs tailored to different audiences — non-technical business users through engineers - Create lightweight playbooks, guides, templates, and reusable components for safe, effective AI adoption - Run onboarding sessions, office hours, and workshops to build AI fluency and drive adoption of approved tools and agents - Establish a feedback loop with users to continuously improve training content, tooling, and documentation YOU BRING You are not expected to have every skill below — tell us which are your strongest. - Experience building with modern AI/ML tools and frameworks - Experience building and consuming APIs, developing data pipelines, and architecting system integrations - Working knowledge of cloud infrastructure (AWS, GCP, or Azure) and experience hosting or operating services in production - Experience comparing and evaluating AI models across providers, including trade-offs between cost, latency, and quality - Comfort working with usage and billing data to build cost visibility, forecasting, or optimization - Ability to understand both business and engineering workflows and translate them into technical solutions - Experience working with or integrating business systems as well as engineering/developer tooling - Experience creating training materials, documentation, or workshops for mixed technical/non-technical audiences - Understanding of data privacy, security, and compliance considerations - Experience implementing safeguards in AI systems, including identity and access controls for automated/non-human actors PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Machine Learning Engineer
ABOUT CLAY AI is unleashing the biggest wave of company creation in history. Clay's mission is to be the engine those companies use to grow to their full potential. Clay predicts the next best action for your business and then helps you take it. We started by aggregating the best data for B2B companies. Then, we built the infrastructure to run any personalized campaign on top of it, including emails, ads, landing pages, and workflows that make reps more productive. Now, we're building agents that can help grow your company for you. We're already helping thousands of customers — including Anthropic, OpenAI, Google, and Visa — go to market with unique data, signals, and AI research. In 2026, we raised a $115M Series D https://www.linkedin.com/safety/go/?url=https%3A%2F%2Fwww.nytimes.com%2F2026%2F09%2F09%2Fbusiness%2Fdealbook%2Fclay-ai-fundraising.html%3Fsmid%3Durl-share%26unlocked_article_code%3D1._1A.E5rN.MeYsbgEsUKbB&urlhash=XS4q&mt=4bpSf4a8omAKuAHqAqZx6C11QpbLK_QwIhSV7gSf4Wf9aywPF_KBSiX9IkWE1AhXBEjPH8mK6fAEN7CMFlpvo0lPAtKRjs-dhgzYqHiVKUMCRtw0jScFgxWCRRfYs4HCX0YL9L6PCQz-edBLinvRdU_TaVUL2dA3&isSdui=true&lipi=urn%3Ali%3Apage%3Ad_flagship3_feed%3BoQmIsufoRJm7X2HC5Rqd%2Fw%3D%3D at $7.1B Valuation led by Wellington — and are on track to cross $200M in revenue this quarter. We also launched a $1M Scholarship fund for GTME Education. Some things to know about us: - Our community http://community.clay.com includes 17,000+ customers, 200+ integration partners, 125+ agencies, 50+ Clay clubs https://luma.com/claylive, and 30k members on Slack. - Our culture https://nextplayso.substack.com/p/spotlight-clay is unique inside and outside of work. Our team members are also DJs, activists, writers, clowns, marathoners, skydivers, psychedelic therapists, social workers, and more. - All employees can work with world-class coaches who specialize in creativity, management, and more. - Our operating principles — including negative maintenance and non-attached action — guide our work. Read more about them here https://cdn.prod.website-files.com/61477f2c24a826836f969afe/685d83a71452245cc1129791_4d770abfd83e276ec15315a2e06945bd_Clay2025_OperatingPrinciples.pdf. - Read about us in the NYT https://www.nytimes.com/2025/08/05/business/dealbook/clay-ai-marketing-fundraise.html, Forbes http://google.com/search?q=forbes+clay&rlz=1C5OZZY_enUS1155US1155&oq=forbes+clay&gs_lcrp=EgZjaHJvbWUyBggAEEUYOTIHCAEQABiABDIHCAIQABiABDIHCAMQABiABDIHCAQQABiABDIHCAUQABiABDIHCAYQABiABDIHCAcQABiABDIHCAgQABiABDIHCAkQABiABNIBBzkzM2owajSoAgOwAgHxBVAe8UAxJx_p&sourceid=chrome&ie=UTF-8, First Round Review https://review.firstround.com/podcast/inside-clays-unconventional-path-to-1-25b/, and more https://www.clay.com/press. Hear from our employees directly on our Glassdoor https://www.glassdoor.com/Overview/Working-at-Clay-EI_IE9850794.11,15.htm page! MACHINE LEARNING ENGINEER @ CLAY Clay's ambition is to build a self-learning revenue engine: a product that gets smarter every time someone uses it. This means data, ML, and AI are at the heart of everything we are building. We're looking for a Machine Learning Engineer to join the Learning Team: a centralized group of MLEs and data scientists whose charter is building the intelligence engine that powers learning loops across every surface of the product. You'll ship intelligence features at the heart of the product: systems that learn a customer's business from their data and behavior, ranking and recommendation experiences, net new 0 to 1 AI products, and the ML platform that makes all of it possible. WHAT YOU'LL DO Build learning loops into the product Design and ship systems that allow Clay to learn and improve using user behavior and important business data. Build net-new recommendation-first experiences, from prototype through production. Build the ML and data platform Help stand up the infrastructure that underpins learning including data lake foundations and serving infrastructure. Evaluate new tools for their ability to accelerate our product vision. Collaborate with our data science and data platform teams to ensure we’re all using a common data language. Make quality measurable Build eval systems and online monitoring so learning features are trustworthy and ensure they are actually positively impacting users’ experience of Clay. Work across product teams The Learning Team maintains one shared roadmap serving all product teams; you'll partner with almost every product team at Clay to make their surfaces smarter. WHAT YOU'LL BRING 5+ years in machine learning engineering or ML-heavy software engineering, with models and ML-powered features shipped to production Strong engineering fundamentals: you write production-quality code and own systems Experience with LLMs in production (prompting, evals, guardrails, fine-tuning) and/or classical ML (ranking, recommendations, propensity models) Experience building data-intensive systems: pipelines, feature infrastructure, retrieval, serving Pragmatic product sense — you optimize for the end user experience and business impact, and know when simple beats sophisticated Comfort with ambiguity — much of this platform is being built from the ground up A passion for the AI space: you stay up-to-date on the latest innovations and tools, and are excited to be at the frontier NICE TO HAVES Experience building recommendation systems, search ranking, or personalization Experience designing eval frameworks for LLM or ML systems Familiarity with modern data stack tools (Snowflake, dbt, Dagster) and data lake architectures Experience in fast-moving startup environments WHY CLAY This is a rare greenfield: the Learning Team is new, its charter comes straight from company leadership, and learning loops are central to Clay's product vision. You'll define the architecture, set the standards, collaborate on the product vision, and ship the features that make Clay feel like it truly knows every customer. We value ownership, clear thinking, and work that has real impact.
Research Engineer
ABOUT CHAI DISCOVERY Chai builds the design suite for molecules. We train frontier models that learn the underlying foundations of biochemical structure and interaction, so scientists can move faster and pursue targets that other methods cannot reach. AI is reinventing life sciences the same way it reinvented software engineering, and Chai is at the forefront of this shift. Leading pharmaceutical companies like Eli Lilly https://endpoints.news/eli-lilly-chai-discovery-sign-ai-software-deal/, Pfizer https://www.forbes.com/sites/amyfeldman/2026/06/04/why-pfizer-and-eli-lilly-are-betting-on-this-13-billion-ai-drug-discovery-startup/, and Novartis https://www.chaidiscovery.com/news/novartis-partnership are adopting our platform to power their drug discovery programs. We value diverse perspectives and are ready to find greatness in unexpected places. ABOUT THE ROLE Make our models performant, fast, and reliable at scale by developing the core frameworks used to train and evaluate our ML models. - Build datasets and algorithms to systematically evaluate and monitor model performance. - Analyze model failure modes, working closely with researchers on experiments to mitigate them. - Own the distributed training stack, removing runtime and reliability bottlenecks across all layers of the stack and architecture—parallelism, quantization, and kernel optimization and whatever else might move the needle. - Own and contribute to our auto research and auto kernels frameworks. Chai's models are moving beyond protein structure prediction into real-world therapeutic engineering. This is a chance to push the frontier of AI drug design, working alongside a rigorous and craft-obsessed team. ABOUT YOU Ideal backgrounds include deep industry experience working with top AI/ML teams on the kinds of problems we describe above—with strong software system design skills, proficiency in Python, and Pytorch or JAX fluency. We look for technical spikes where you have gone deep and demonstrated exceptional impact on real-world problems and systems. WE OFFER The opportunity to work at the vanguard of AI research and frontier biology, with world-class people, on a mission that matters. We protect & promote a culture of high velocity and ownership. We compensate our team accordingly.
Sr. Staff Software Engineer, Inference Platform
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. About the Role We're hiring a Staff Engineer to help lead, drive, and contribute to projects on our Inference Platform team. Our team primarily owns the orchestration layer that runs inference on our datacenter clusters, connecting cloud components with machine learning services. We are often the first team to face problems that haven't been solved yet, leading solutions across Kubernetes operators, service security policies, and CI/CD. If you're interested in building the next-generation architecture of a globally distributed inference platform, we'd like to talk. Responsibilities - Design, develop, test, and maintain production software, with responsibilities spanning testing, continuous development, observability, security, networking, debugging, and productionization. - Raise the effectiveness of senior engineers through design feedback, pairing, and clear technical standards. - Platform Direction. Help shape the technical direction for the Inference Platform, Kubernetes custom resource definitions, failure domains, service boundaries, and system evolution over time, and own the roadmap for major technical areas. - Reliability & Performance. Architect active-active systems with rapid failover, graceful degradation, and clear SLOs. Drive system-level improvements in latency, throughput, capacity efficiency, and resilience under unpredictable demand. - Execution on Critical Paths. Write and review production code in the most important parts of the platform. Make high-consequence architectural decisions within your area and set the technical bar through design reviews, code reviews, and sound engineering judgment. - Production Leadership. Lead on the hardest production issues and cross-system bottlenecks. Drive observability, incident response, capacity planning, and post-incident improvement with a high standard for operational rigor. - Technical Influence. Partner with ML, Product, Infrastructure, and Cloud teams to translate product and business requirements into scalable system designs, and drive alignment on shared technical decisions within your domain and adjacent platform surfaces. Skills & Qualifications - 8+ years of experience in software engineering, with substantial individual contributor experience building and operating large-scale distributed systems or cloud infrastructure. - Deep expertise in distributed systems architecture, ideally with Kubernetes. - Strong track record of making sound architectural decisions for highly available, latency-sensitive systems at scale. - Experience with security (certificates, TLS, mTLS). - Experience optimizing latency, throughput, and efficiency in high-QPS systems. Experience with TTFT and tail-latency reduction is a strong plus. - Strong proficiency in backend or systems languages such as Go or C++, with the expectation that you can contribute production code directly. - Experience designing observability and reliability practices, including metrics, logging, tracing, alerting, incident response, and SLO-driven operations. - Ability to influence senior engineers and cross-functional partners through technical credibility, communication, and judgment, especially within your domain and adjacent systems. - Preferred Skills & Qualifications - Experience with ML inference infrastructure, model serving systems, or GPU-accelerated workloads. Location: Sunnyvale or Toronto preferred Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Software Engineer, Inference Platform
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. About the Role We're hiring a Software Engineer to help contribute to projects on our Inference Platform team. Our team primarily owns the orchestration layer that runs inference on our datacenter clusters, connecting cloud components with machine learning services. We are often the first team to face problems that haven't been solved yet, leading solutions across Kubernetes operators, service security policies, and CI/CD. If you're interested in building the next-generation architecture of a globally distributed inference platform, we'd like to talk. Responsibilities - Design, develop, test, and maintain production software, with responsibilities spanning testing, continuous development, observability, security, networking, debugging, and productionization. - Platform Direction. Help shape the technical direction for the Inference Platform, Kubernetes custom resource definitions, failure domains, service boundaries, and system evolution over time, and own the roadmap for major technical areas. - Reliability & Performance. Architect active-active systems with rapid failover, graceful degradation, and clear SLOs. Drive system-level improvements in latency, throughput, capacity efficiency, and resilience under unpredictable demand. - Execution on Critical Paths. Write and review production code in the most important parts of the platform. Make high-consequence architectural decisions within your area and set the technical bar through design reviews, code reviews, and sound engineering judgment. - Production Leadership. Lead on the hardest production issues and cross-system bottlenecks. Drive observability, incident response, capacity planning, and post-incident improvement with a high standard for operational rigor. - Technical Influence. Partner with ML, Product, Infrastructure, and Cloud teams to translate product and business requirements into scalable system designs, and drive alignment on shared technical decisions within your domain and adjacent platform surfaces. Skills & Qualifications - 3+ years of experience in software engineering, with experience building and operating large-scale distributed systems or cloud infrastructure. - Experience in distributed systems, ideally with Kubernetes. - Experience building highly available, latency-sensitive systems at scale. - Experience with security (certificates, TLS, mTLS). - Experience optimizing latency, throughput, and efficiency in high-QPS systems. Experience with TTFT and tail-latency reduction is a strong plus. - Strong proficiency in backend or systems languages such as Go or C++. Preferred Skills & Qualifications - Experience with ML inference infrastructure, model serving systems, or GPU-accelerated workloads. Location: Open to Sunnyvale or Toronto. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Principal Engineer, AI Inference Reliability
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. About the role We’re looking for a hands-on Reliability Tech Lead (IC) to own the mission of making Cerebras Inference the most reliable AI service in the world. You will drive reliability strategy and execution across our inference stack, from client SDKs and public-cloud multi-region deployments to wafer-scale systems in specialized data centers. In this role, you will define SLOs and incident-response frameworks, design and implement reliability mechanisms at scale, and partner across hundreds of engineers to ensure our service meets world-class reliability standards. If you are passionate about building and operating massive-scale, low-latency, high-reliability distributed systems, we want to hear from you. Responsibilities: - Define and drive reliability strategy: establish SLOs and ensure alignment across engineering. - Design and implement reliability mechanisms: build and evolve systems for fault detection, graceful degradation, failover, throttling, and recovery across multiple regions and data centers. - Lead large-scale incident management: own postmortems, root-cause analysis, and prevention loops for reliability-related incidents. - Architect for reliability and observability: influence system design for redundancy, durability, and debuggability. - Develop reliability tooling: create internal tools and frameworks for chaos testing, load simulation, and distributed fault injection. - Collaborate broadly: work across software, infrastructure, and hardware teams to ensure reliability is embedded into every layer of our inference service. - Monitor and communicate reliability metrics: build dashboards and alerts that measure service health and provide actionable insights. - Mentor and influence: guide engineers and set best practices for designing, testing, and operating reliable large-scale systems. Skills & Qualifications: - Bachelor's or master's degree in computer science or related field. - 7+ years of experience in backend, infrastructure, or reliability engineering for large-scale distributed systems. - Strong programming skills in at least one popular backend programming language such as Python, C++, Go, or Rust. - Deep and hard-earned experience of reliability principles: SLO/SLI/SLA design, incident response, and postmortem culture. - Excellent communication and cross-functional leadership skills. - Bonus: prior experience building large-scale AI infrastructure systems. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
ML Software Tool Development Engineer
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Responsibilities: - Lead the design and implementation of system-level debugging, validation, and observability platforms. - Develop automated systems for collecting and analyzing numerical, and execution anomalies. - Create visualization and analysis tools to enable efficient root-cause investigation. - Build frameworks for failure classification, regression detection, and anomaly monitoring. - Extend compilers, runtimes, and programming interfaces to support advanced profiling and instrumentation. - Improve system bring-up, low-level debug, and validation workflows. - Partner cross-functionally with compiler, hardware, firmware, runtime, and infrastructure teams. - Establish best practices for debuggability, reliability, and operational excellence. - Lead high-impact initiatives. - Support incident response and drive long-term corrective actions. Skills & Qualifications - Strong proficiency in C++ and Python, with a track record of building reliable, high-performance systems and tooling. - Demonstrated experience debugging complex hardware/software systems and driving issues to root cause. - Experience analyzing system-level data structures, execution graphs, or dependency networks for diagnostics and validation. - Proven ability to design and build intuitive visualization and analysis tools for complex technical data. - Experience with compiler internals, custom hardware interfaces, or low-level protocol design. - Strong written and verbal communication skills, with the ability to explain technical concepts to diverse stakeholders. - Ability to work independently and lead complex technical projects end-to-end. Preferred Skills & Qualifications - Familiarity with machine learning training and inference pipelines, especially distributed training and large-model scaling. - Prior work on high-performance clusters, HPC systems, or custom hardware/software co-design. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
AI Inference Core - Senior SW Engineer for Platfor...
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. ABOUT THE TEAM The Core Infrastructure team builds the software systems that power engineering workflows across Cerebras. Our infrastructure coordinates complex work across machines, clusters, development environments, and hardware systems. We build orchestration frameworks, execution engines, scheduling systems, test infrastructure, developer tools, and reusable software platforms that allow engineers to build, test, qualify, and deliver software reliably at scale. These systems are primarily built in Python, but the work goes far beyond scripting or automation. Our frameworks act as the control plane for distributed workflows, managing resources, execution state, concurrency, failures, retries, dependencies, and observability across large and complex environments. ABOUT THE ROLE We are hiring a Software Engineer to build and operate the platform layer behind Cerebras engineering infrastructure. You will work on CI/CD systems, Kubernetes, deployment automation, cloud and on-premises infrastructure, developer environments, artifact management, and observability. You will help make the systems engineers depend on reliable, scalable, and easy to operate. This is an engineering-focused infrastructure role rather than a primarily ticket-driven operations position. You will automate repeated work, debug failures across system boundaries, and turn operational problems into durable software and platform improvements. We value strong systems fundamentals, independent problem solving, and sound engineering judgment more than familiarity with any particular infrastructure product. RESPONSIBILITIES - Design, build, and maintain CI/CD systems supporting build, test, integration, qualification, and release workflows. - Build and operate Kubernetes-based platforms and services used by engineering teams across Cerebras. - Develop deployment systems, internal tools, and self-service workflows that make infrastructure changes repeatable, reviewable, and safe. - Improve infrastructure reliability, capacity, performance, cost efficiency, monitoring, and operational readiness. - Debug issues spanning CI pipelines, Kubernetes workloads, networking, storage, authentication, operating systems, and distributed applications. - Perform root-cause analysis and implement lasting fixes rather than relying on repeated manual intervention. - Partner with software, IT, security, networking, release, and developer-productivity teams to deliver scalable infrastructure solutions. SKILLS & QUALIFICATIONS - 5+ years of professional experience in platform engineering, DevOps, infrastructure engineering, site reliability engineering, or software engineering. - Hands-on experience building or maintaining CI/CD pipelines and automated software-delivery workflows. - Experience deploying and operating services using Kubernetes and containerized environments. - Experience with a major cloud platform, preferably AWS, and programmatic infrastructure provisioning. - Strong understanding of Linux or Unix operating-system fundamentals. - Understanding of networking concepts such as DNS, routing, load balancing, proxies, ports, TLS, and service connectivity. - Proficiency in Python, Shell, or another language used to build infrastructure automation and operational tooling. - Experience with monitoring, logging, alerting, dashboards, and incident investigation. - Strong debugging and problem-solving skills, including the ability to investigate issues spanning applications, infrastructure, networking, and operating systems. PREFERRED SKILLS & QUALIFICATIONS - Experience with infrastructure-as-code tools, specifically Terraform. - Experience with Kubernetes controllers, operators, custom resources, Helm, Argo CD, or similar platform technologies. - Experience managing artifact repositories, package registries, build caches, or software-distribution infrastructure. - Familiarity with build systems, dependency management, and reproducible-build practices. - Experience supporting hybrid environments spanning cloud infrastructure, on-premises systems, and specialized hardware. - Experience with identity and access management, secrets, certificates, TLS, or mTLS. - Experience building internal developer platforms or self-service infrastructure products. - BS/MS in Computer Science or a related field, or equivalent practical experience. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Software Engineer, Data Infrastructure
ABOUT CARTESIA Our mission is to architect AI that learns from and interacts with the world like humans do. We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences. We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI. ABOUT THE ROLE Data is the lifeblood of our models, and we are looking for a Software Engineer, Data Infrastructure to own the strategy and execution for all data at Cartesia. In this highly impactful role, you will build and evolve the datasets that power our cutting-edge research. You will design scalable systems to acquire, process, and curate massive multimodal datasets while partnering closely with research and inference teams. Your work will directly shape the capabilities and quality of our foundational models. YOUR IMPACT - Define Cartesia's multi-modal data strategy across pre-training and post-training, spanning human, synthetic, and web-scale sources, with particular depth in audio. - Design and operate scalable, high-throughput data pipelines for text, audio, and video — covering ingestion, preprocessing, augmentation, dataset versioning, and data loading for training. - Partner closely with research and inference teams so data systems are co-designed with training and serving infrastructure (batching, GPU-aware loading, evaluation pipelines). - Establish and enforce rigorous standards for data quality, with a tight feedback loop between dataset characteristics and model behavior. - Identify and source novel datasets; manage relationships and budgets with external data vendors and partners. WHAT YOU BRING - Hands-on experience with ML data infrastructure: training data pipelines, dataset versioning, large-scale data loading, and the interplay between data systems and model training and inference. - Working knowledge of multimodal data, i.e. audio: formats, preprocessing, augmentation, and large-scale storage and streaming patterns. - Strong modern engineering execution: clean, well-tested code, fluency with current tools, and a willingness to pick the right tool for the problem rather than defaulting to familiar patterns. - Experience leading cross-functional technical efforts in a fast-moving, research-driven environment. - Familiarity with building and evaluating datasets for generative models and reasonable working knowledge of how they’re trained and inference. Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire. MORE DETAILS 🏢 In-office policy: We’re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore. We love being in the office, hanging out together, and learning from each other every day. 🌎 Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call. 🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way. 🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed. OUR BENEFITS (US EMPLOYEES ONLY) 💰 Compensation Competitive base salary alongside attractive equity package. 🩺 Health Insurance Fully covered medical insurance along with dental and vision for you and your family. 🧑🧑🧒🧒 Parental Leave 9 weeks paternity & 12 weeks maternity leave 🏦 401(k) 🚆 Commuter Allowance A monthly stipend to help you get to and from the office. 🏖️ Flexible PTO Take as much time as you need to recharge your batteries. 🍲 Meals & Snacks Lunch, dinner and plenty of snacks, provided daily. 🦖 Your own personal Yoshi OUR COMMITMENT TO EQUAL OPPORTUNITY Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
Member of Technical Staff - Pretraining
ABOUT BLACK FOREST LABS We're the team behind Latent Diffusion, Stable Diffusion, and FLUX — foundational technologies that changed how the world creates images and video. Our models power the tools used by millions of creators, developers, and businesses worldwide, and FLUX is among the most advanced generative systems in the world. Headquartered in Freiburg, Germany with a growing presence in San Francisco, we're scaling fast while staying true to what makes us different: research excellence, open science, and building technology that expands human creativity. WHY THIS ROLE We're building the foundation models that power the next wave of visual intelligence — and pretraining is where that work begins. This role sits at the center of our research effort. You'll shape training objectives, architectures, data strategies, and systems behind our joint image, video, and audio foundation models, with a direct line from your research to products used by millions. This is a Staff / Senior IC role. We're looking for someone who has already led pretraining at the frontier and wants to do it again. WHAT YOU'LL WORK ON - Lead large-scale pretraining experiments for our multimodal (image, video, audio) foundation models (architecture, objective functions, scaling strategies) - Develop and evaluate novel ideas across architecture, optimizers, and training algorithms. - Contribute across the full stack: low-level GPU and systems optimizations, research code, and high-level model design - Lead focused research projects independently and drive larger cross-team initiatives WHAT WE'RE LOOKING FOR - You've led or co-owned pretraining for a foundation model (image, video, LLM, or multimodal) that shipped to production or a major release - Own architectural calls that move the model: attention patterns, modulation schemes, loss formulations, tokenization strategies - Deep experience with large-scale distributed training: FSDP/TP/PP, multi-node runs at 500+ GPUs, debugging loss spikes, NaNs, throughput regressions, and silent correctness issues at scale - Strong intuition for architecture and objective design — you've made calls on attention patterns, modulation schemes, or loss formulations that moved a real model - Track record of shipping: top-venue publications (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV) paired with production impact, or unambiguous production wins at a frontier lab - Deep Python and PyTorch proficiency; comfortable reading and modifying low-level training code - Familiarity with visual generative models is a must HOW WE WORK TOGETHER We’re a distributed team with real offices that people actually use. Depending on your role, you’ll either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected. We’ll cover reasonable travel costs to make this possible. We think in-person time matters, and we’ve structured things to make it accessible to all. We’ll discuss what this will look like for the role during our interview process. Everything we do is grounded in four values: - Obsessed. We are a frontier research lab. The science has to be right, the understanding deep, the product beautiful. - Low Ego. The work speaks. The best idea wins, no matter who said it. Credit is shared. Nobody is above any task. - Bold. We take the ambitious bet. We ship, we do not wait for conditions to be perfect. - Kind. People over politics. We treat each other with genuine warmth. Agency without empathy creates chaos. If this sounds like work you’d enjoy, we’d love to hear from you. Base Annual Salary: EU €130,000-€340,000 + Equity Note: Our recruitment process uses AI-assisted tools to help manage and organize applications. All hiring decisions are always made by our team.
Data Scientist
JOIN THE TEAM BRINGING ADVANCED AUTONOMY TO THE BUILT WORLD At Bedrock, we're moving AI out of the lab and into the real world. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction equipment across the country, improving safety on job sites and accelerating schedules on critical infrastructure projects. We're not here debating the future of AI. We're deploying it in the real world. In just two years, we've raised $350M and achieved the first fully autonomous excavator deployments in construction. This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us. The Role: Bedrock Robotics is hiring a Data Scientist to lead high-impact data science work across autonomy, safety, and product. In this role, you will operate as a senior technical individual contributor, partnering closely with autonomy, machine learning, backend, and product teams to extract insights from complex, real-world data generated by autonomous construction machines and their operators. You will work across the full data science lifecycle (problem framing, analysis, measurement, and communication) while helping establish foundational practices for how data science is applied at Bedrock. This role is ideal for a senior-to-staff-level data scientist who enjoys operating in ambiguous problem spaces, working close to production systems, and delivering insights that directly influence engineering and product decisions. What you'll do: - Own and execute data science work across autonomy, safety, and product, focusing on the highest-impact analytical problems - Analyze machine telemetry, operational data, and user workflows to surface insights that improve system performance, safety, and usability - Define and track key metrics that measure system behavior and product outcomes - Design and evaluate experiments, analyses, and validation approaches in partnership with engineering and product teams - Collaborate closely with ML platform and data engineering teams to ensure data is accessible, reliable, and fit for analysis - Communicate findings clearly to technical and non-technical stakeholders, influencing roadmap and design decisions - Contribute to the foundation of data science practices at Bedrock, helping shape how future work and teams scale Required Qualifications: - 5+ years of experience in data science, applied analytics, or applied machine learning roles - Comfort operating as a senior IC in a fast-growing startup, balancing execution with technical judgment and prioritization - Ability to work independently, define analytical approaches, and drive projects from concept to insight - Experience working with complex, high-volume, or real-time data (e.g., robotics, autonomy, geospatial systems, computer vision outputs, IoT, ad-tech, or large-scale consumer platforms) - Strong grounding in statistics, experimental design, and data analysis, with a track record of influencing decisions through data - Hands-on experience collaborating with data engineering and infrastructure teams on data pipelines, data quality, and scalable analysis workflows - Proficiency in Python and SQL, with experience using modern tooling like agentic AI - Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field (advanced degree welcome but not required) Bedrock Robotics is an Equal Opportunity Employer We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic. Reasonable Accommodations We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
Software Engineer - Model Products
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten’s Model Performance (MP) team is responsible for ensuring the models running on our platform are fast, reliable, and cost‑efficient. As part of this team, you’ll focus on Model APIs — the infrastructure powering our hosted API endpoints for the latest open‑source models. This work spans distributed systems, model serving, and developer experience. You’ll join a small, high‑impact team operating at the intersection of product, model performance, and infra, helping to define how developers interact with AI models at scale. RESPONSIBILITIES - Design, build, and operate the Model APIs surface with focus on advanced inference capabilities: structured outputs (JSON mode, grammar-constrained generation), tool/function calling and multi-modal serving - Profile and optimize TensorRT-LLM kernels, analyze CUDA kernel performance, implement custom CUDA operators, tune memory allocation patterns for maximum throughput and optimize communication patterns across multi-GPU setups - Productionize performance improvements across runtimes with deep understanding of their internals: speculative decoding implementations, guided generation for structured outputs, custom scheduling and routing algorithms for high-performance serving - Build comprehensive benchmarking frameworks that measure real-world performance across different model architectures, batch sizes, sequence lengths, and hardware configurations - Productionize performance improvements across runtimes (e.g.TensorRT, TensorRT‑LLM): speculative decoding, quantization, batching, and KV‑cache reuse. - Instrument deep observability (metrics, traces, logs) and build repeatable benchmarks to measure speed, reliability, and quality. - Implement platform fundamentals: API versioning, validation, usage metering, quotas, and authentication. - Collaborate closely with other teams to deliver robust, developer‑friendly model serving experiences. REQUIREMENTS - 3+ years experience building and operating distributed systems or large‑scale APIs. - Prior ML or LLM experience is not required. We’re looking for strong systems engineers with performance instincts - experience with model serving or inference systems is a plus - Proven track record of owning low‑latency, reliable backend services (rate‑limiting, auth, quotas, metering, migrations). - Infra instincts with performance sensibilities: profiling, tracing, capacity planning, and SLO management. - Comfortable debugging performance and reliability issues across complex systems, from application-level behavior to runtime and infrastructure internals. - Strong written communication; able to produce clear design docs and collaborate across functions. NICE TO HAVE - Experience with LLM runtimes (vLLM, SGLang, TensorRT‑LLM) or contributions to open-source inference engines (vLLM, TensorRT-LLM, SGLang, TGI) - Knowledge of Kubernetes, service meshes, API gateways, or distributed scheduling. - Background in developer‑facing infrastructure or open‑source APIs. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Software Engineer - Dedicated Inference
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As an Engineer on the Dedicated Inference team, you'll shape the state-of-the-art developer experience for deploying and operating AI workloads in production. From the CLI and SDKs to APIs, observability, and debugging workflows, you'll build the tools customers rely on every day to manage mission-critical inference deployments. Few teams at Baseten have as much breadth and visibility as Dedicated Inference. The team is often at the forefront of new product development, giving engineers the opportunity to shape the experience of some of our most important customers. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Dedicated Inference team: - Chains for multi-component workflows https://www.baseten.co/blog/baseten-chains-explained/ - Asynchronous inference https://www.baseten.co/blog/using-asynchronous-inference-in-production/ - Model APIs for frontier models https://www.baseten.co/products/model-apis/ - Model training built for production inference https://www.baseten.co/products/training/ RESPONSIBILITIES - Implement new features and products for the team - Design ergonomic APIs and abstractions to solve customer problems - Fix bugs and resolve customer issues with urgency - Work across the stack - regardless of where you start, you’ll end up touching both React Components and Kubernetes Pods - Work closely with the product and forward deployed engineering teams to develop and drive new product ideas REQUIREMENTS - Bachelor's degree or higher in Computer Science or related field - Proficient coding abilities in one or more popular programming or scripting languages; Python, Go, or JavaScript proficiency is a plus - Familiarity with web applications & databases - Good taste in product, particularly developer-oriented tools - Interest in ML/AI infrastructure and willingness to learn - Strong collaboration and communication skills BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Software Engineer - Baseten Inference Stack
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten’s Inference Stack team builds the distributed runtime that powers large-scale LLM inference across our platform. We operate at the intersection of distributed systems, model performance, infrastructure, and developer experience. We enable customers to deploy and operate cutting-edge LLM models with industry-leading performance, scalability, reliability, and ease of use. As a Software Engineer on the Inference Stack team, you’ll work across the stack - from the developer experience customers use to deploy models, the libraries used for features like tool calling and reasoning, all the way down to the systems we use to orchestrate deployments in Kubernetes and route traffic efficiently. This is an ideal role for engineers who enjoy owning systems in production, solving hard integration problems, and making complex infrastructure simple and reliable for users. EXAMPLE INITIATIVES Blog Posts https://www.baseten.co/blog/nvidia-dynamo-day-baseten-inference-stack/ https://www.baseten.co/blog/how-baseten-achieved-2x-faster-inference-with-nvidia-dynamo/ https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/#comparing-deployment-options-cloud-vs-self-hosted-vs-hybrid RESPONSIBILITIES - Develop infrastructure and orchestration systems for deploying and managing large-scale distributed LLM inference - Work across the stack, from customer-facing features to low-level infrastructure components - Build platform capabilities related to routing, autoscaling, scheduling, observability, and runtime management - Improve the reliability, scalability, and usability of our inference stack - Collaborate closely with Model Performance engineers to make new inference optimizations broadly available to customers and easy to configure - Help define best practices around testing, release automation, benchmarking, and operational excellence - Debug complex production systems spanning Kubernetes, distributed runtimes, networking, and GPU workloads - Make thoughtful engineering tradeoffs balancing performance, reliability, operational simplicity, and developer experience - Own projects end-to-end: from architecture and implementation through deployment, monitoring, and iteration based on customer feedback REQUIREMENTS - Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related field - Strong background in distributed systems, backend infrastructure, or platform engineering - Experience building and operating production systems where reliability, latency, and scale are first-class concerns - Strong sense of developer experience: you think about how systems are used, not just how they work - Motivated and willing to learn new languages, frameworks, and systems as needed - Ability to debug complex systems across multiple layers of the stack - Genuine interest in inference engineering. You don’t need to have hands on experience but are willing to learn - Excellent communication and collaboration skills NICE TO HAVE - Experience with Kubernetes, including concepts like operators and custom resources - Prior work on Dynamo, vLLM, SGLang, TensorRT-LLM, or similar inference frameworks - Experience with distributed scheduling, autoscaling, or service orchestration - Experience operating GPU workloads in production - Familiarity with observability tooling, CI/CD systems, or release automation - Experience contributing to open-source infrastructure or ML systems BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Product Manager, Inference Platform
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Product at Baseten is a nascent function. Our company today has a strong engineering culture, is heavily customer-obsessed, and moves fast. We're building the product function now, and you'd be one of the people who defines it. You'll work directly with our founders and with some of the best systems and AI engineers, and you'll set the standard for what product looks like here. PMs at Baseten don't sit above engineers. You earn ownership by being technical, finding the truth in front of customers, building great cross-functional relationships, and shipping great product experiences. Once a model is deployed, keeping it fast, reliable, and economical at scale is where production inference is won or lost. You'll own the surface that makes that happen: how deployments autoscale, how traffic is routed, how the system fails over, and how workloads scale across clusters and regions. You'll own these as products end to end, both how they work under the hood and how customers configure and observe them, and you'll set the roadmap that infrastructure and product teams alike can build toward. This space is still evolving. Think cloud infrastructure in the mid-2000s. Your job is to make it 10x easier to reliably scale and serve AI models in production, and to set the market standard. This role is a great fit if you love getting deep in the technical details, and if you'd rather do whatever it takes to ship for customers than stay in the strategy, UX, or docs layer. You're drawn to platforms, systems, GPUs, models, and scaling infrastructure more than to applied AI, and you find real satisfaction in the foundational, sometimes unglamorous work that makes AI systems reliable and scalable at the infrastructure level. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Product and Infrastructure teams: - How we built Multi-cloud Capacity Management (MCM) https://www.baseten.co/blog/how-we-built-multi-cloud-capacity-management/ - How the Baseten Delivery Network (BDN) makes cold starts fast https://www.baseten.co/blog/how-the-baseten-delivery-network-bdn-makes-cold-starts-fast/ - Baseten brings AI video to life on Nebius https://www.baseten.co/blog/ai-video-nebius-baseten-inference-stack/ RESPONSIBILITIES - Own how workloads scale and where they land, from autoscaling to demand (up under load, down to zero when idle) to a single placement policy that expresses region, compliance regime, and capacity preference. - Give compliance-bound workloads right-of-way on sensitive capacity. - Make production inference reliable by default, so every request reaches a healthy replica and rolling deploys never drop traffic. - Define region-aware routing, with multi-region and active-active failover as first-class policy, plus health-aware recovery from stuck or bad replicas. - Build the release engine beneath safe rollouts: the traffic-shifting that powers canary, shadow, and A/B, along with warm-ups, drain, and probes. - Push the cost and performance frontier for serving AI at scale across latency, throughput, uptime, and cost efficiency. - Drive a measurable decline in MTTR through self-serve incident management. - Set the roadmap that infrastructure and product teams build toward, and own each capability end to end, from backend behavior through the customer-facing configuration and observability surface. REQUIREMENTS - 8+ years in product management, including deep experience with infrastructure, distributed systems, or ML serving. - Fluency reasoning about scaling, routing, failover, and the cost/performance frontier, at a level that earns the respect of staff engineers. - Experience owning capabilities end to end, backend through UX, rather than a single slice. - Track record driving cross-team roadmaps and the dependencies beneath them. - Comfort defining a category that doesn't fully exist yet. NICE TO HAVE - Hands-on experience with GPU infrastructure. - Experience with Kubernetes. - Experience with serving frameworks like vLLM, TensorRT-LLM, or SGLang. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Frontend Engineer - Dedicated Inference
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re looking for a seasoned Frontend Engineer to craft performant and delightful user experiences across Baseten’s core platform. You’ll own critical parts of our web application stack and collaborate cross-functionally with product, design, and backend teams to launch impactful features that help users deploy and manage AI systems at scale. EXAMPLE INITIATIVES - Rolling Deployments https://www.baseten.co/blog/rolling-deployments-zero-downtime-model-updates/ - Model APIs for frontier models https://www.baseten.co/products/model-apis/ - Model training built for production inference https://www.baseten.co/products/training/ RESPONSIBILITIES - Design, implement, and maintain responsive, accessible, and user-friendly frontend interfaces using React and TypeScript - Collaborate closely with product designers to turn complex ideas into elegant, intuitive UIs - Optimize application performance and reliability, with a focus on rendering speed and responsiveness - Drive major frontend initiatives, including partnering with backend teams to define APIs and test and refine end-to-end flows - Establish best practices, and mentor other engineers on frontend technologies - Build reusable component libraries and frontend infrastructure that accelerate product development - Partner with backend and platform teams to define and refine APIs and end-to-end flows REQUIREMENTS - 5+ years of experience building production-grade web applications - Deep expertise in React, TypeScript, and modern web development tooling - Track record of building well-crafted, performant, and scalable UIs - Strong product intuition and empathy for the user experience - Experience working in cross-functional product teams in a fast-paced environment - Excellent communication and collaboration skills NICE TO HAVE - Familiarity with Tailwind CSS, Next.js, or other modern frontend frameworks - Background in developer tools or data/ML infrastructure products - Experience with WebSockets, real-time data, or custom visualization tooling - Contributions to open-source projects or public engineering work BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Senior Software Engineer, Perception
Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver https://aurora.tech will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech http://aurora.tech or follow us on LinkedIn https://www.linkedin.com/company/auroradriver. Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Senior Software Engineer, Perception to join our autonomous driving team. In this role, you will collaborate closely with cross-functional engineering teams to design and deploy state-of-the-art machine learning models directly onto our real-time vehicle platform. This is an exciting opportunity to solve complex, high-impact autonomy challenges and directly shape the future of the Aurora Driver. In this role, you will - Develop and Optimize Core Perception Solutions: Research and develop state-of-the-art deep learning and machine learning models to improve perception under challenging scenarios, such as long-range multi-sensor detection and degraded sensor conditions. - Tackle End-to-End Autonomy Challenges: Address object detection, tracking of traffic actors, action recognition, and semantic understanding of diverse traffic scenes. - Deploy Production-Ready Software: Guide software development from initial prototype to production deployment on a real-time AV platform, leveraging large-scale data sets for training and analysis. - Collaborate and Iterate: Partner with team members to diagnose, analyze, and resolve failure modes encountered during on-road and simulated testing to produce robust, well-tested systems. - Scale ML Engineering Pipelines: Build and scale robust ML pipelines to facilitate quick experimentation as well as large-scale training and testing. Required Qualifications - BS, MS, or PhD in Computer Science, Robotics, Engineering, or a related field with a strong foundation in one or more focus areas of ML, including deep learning, computer vision, recursive state estimation, structured prediction, and optimization. - 6+ years of research-based or professional experience with C++ and Python. - Comprehensive grasp of linear algebra, discrete/continuous optimization, supervised/unsupervised methods, and generative/discriminative models. - Strong publication record at top-tier robotics/computer vision conferences/journals, or significant industry experience in relevant fields (robotics, computer vision, self-driving technology) Desirable Qualifications - Experience utilizing deep learning frameworks such as PyTorch or TensorFlow. - Advanced production-level knowledge of C++ is highly preferred. - Prior experience applying computer vision and machine learning directly to complex robotics problems. - Experience deploying computer vision/ML models at scale across large physical fleets. - Proven ability to work effectively in environments requiring close cross-team collaboration. - Experience working with 3D data, including 3D object detection, tracking, semantic segmentation, or processing point clouds from LiDAR, Radar, and multi-camera system The base Salary range for this position is $162,000 - $260,000. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits. #LI-td-1 #Mid-Senior Working at Aurora At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks. We believe in-person work increases collaboration, empathy, and our ability to lead effectively. As a result, Aurorans are expected to work from the office at least 3 days per week, with some roles requiring more frequent in-office presence, up to 5 days per week, based on operational needs. Our Careers page https://aurora.tech/careers provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom https://aurora.tech/newsroom. Our commitment to safety At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what. Our commitment to inclusion Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech. For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.
Behavior Planning Software Engineer
Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver https://aurora.tech will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech http://aurora.tech or follow us on LinkedIn https://www.linkedin.com/company/auroradriver. Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Software Engineer to support and scale efforts for our Behavior Planning Team. In this role, you will - Develop real-time algorithms for selecting safe and comfortable trajectories for a self-driving vehicle - Integrate motion planning with machine learning to create verifiable AI systems for autonomous driving - Design and implement production-grade software for the Aurora Driver - Design metric suites and testing workflows for rapid iteration on algorithms Required Qualifications - BS, MS, or Ph.D. in Robotics, Machine Learning, Applied Mathematics, Computer Science or a related field - 4+ years of strong programming and software design skills in Python and/or C++, especially in low latency or real-time environments - Experience in designing, building, and productionizing motion planning algorithms (cost function design, optimization, or sampling-based techniques) Desirable Qualifications - Expertise with GPU or ML toolkits such as PyTorch, CUDA, TensorFlow, JAX, and/or TensorRT - Expertise in machine learning for robotic/agentic applications (reinforcement learning or imitation learning) The base salary range for this position is $139,000 - $223,000 per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits. Working at Aurora At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks. We believe in-person work increases collaboration, empathy, and our ability to lead effectively. As a result, Aurorans are expected to work from the office at least 3 days per week, with some roles requiring more frequent in-office presence, up to 5 days per week, based on operational needs. Our Careers page https://aurora.tech/careers provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom https://aurora.tech/newsroom. Our commitment to safety At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what. Our commitment to inclusion Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech. For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.
Education Engineer
About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform , empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com , Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. Note: Arize is a remote-first company but certain roles often appear at in-person events. The nature of this role requires candidates to be based in the San Francisco Bay metro area, though there isn't an in-office requirement. The Opportunity AI is rapidly transforming the world. Whether it's developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives. Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production. The Role We are looking for an AI Education Engineer focused on developer growth. This team fits in developer advocacy in the product team, outside of core engineering, connecting product to the AI Engineer ecosystem. This role is ideal for people with an entrepreneurial mindset and passion to grow our developer community through code, education, content, and hack-a-thons. You will be joining a team of engineers, product and marketing with experience building the next generation of AI systems from agents to assistants to LLM applications. What You'll Do - Write code and build examples that our community can reference - agents & assistants in different frameworks - Create awareness through technical content that educates AI developers – e.g. Github repos, blogs, eBooks, product documentation, workshops, demos - Build out Claude code and Cursor skills for automating systems - Improve the growth marketing experience - Be the “voice of the AI engineer” across Arize’s base of users and the AI developer community at large - Serve as a product advocate for Arize's core SaaS or OSS offerings. Distill market insights and developer feedback to inform roadmap and GTM activities - Craft best practices and novel perspectives on troubleshooting and improving production ML models and LLM-powered applications - Plan and speak at Arize-hosted and industry events and conferences Who We're Looking for - Working knowledge of generative AI - Technical experience with the LLM app development stack (e.g. agents, orchestration frameworks, vector databases, evaluation libraries) with proficiency in Python - Engaged in technical communities via GitHub, Medium, DZone, Stack Overflow, Reddit, LinkedIn, etc. - A data-driven creative who thrives in ideating and delivering on novel activities that earn the attention and trust of AI/ML practitioners - A self-learner who isn’t daunted by technical complexity and welcomes the challenge to develop their own POV - Excellent written and verbal communication - Willingness to attend evening meetups and events in the SF Bay Area The estimated annual salary for this role is between $100,000 - $175,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. More About Arize Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture - Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI - Culturally conscious events such as LGBTQ trivia during pride month - We have an active Lady Arizers subgroup
AI Solutions Manager, West
About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform , empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com , Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. The Opportunity As an AI Solutions Manager, you’ll partner with some of the most innovative AI/ML teams in the world. You’ll play a pivotal role in driving adoption, shaping product use cases, and ensuring our customers succeed in leveraging AI to achieve real-world impact. This role is a blend of solutions consulting, customer engagement, and AI product feedback. You’ll work directly with the ML and AI engineering teams at some of the most sophisticated companies in the world and help them observe, evaluate, and improve the AI they run in production. You’ll own the customer lifecycle end to end: identifying the business problem, defining what success looks like with their stakeholders, shaping how Arize fits their architecture, and driving adoption through renewal and expansion. You’ll also feed what you learn back into the product, so solutions you build for one customer become repeatable for the next. While we are a remote-first company, the nature of this role requires candidates to be based in the San Francisco Bay area/PST time zone. What You’ll Do - Own a portfolio of enterprise accounts: account plans, regular touchpoints, usage monitoring, QBRs, and renewals - Conduct discovery with customer’s AI/ML teams to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions. - Collaborate with technical teams, including Forward Deployed AI Engineers, to address complex customer needs, ensure smooth implementation, and advise on technical best practices. - Run QBRs to demonstrate account value, identify areas of opportunity, and strengthen customer partnerships. - Proactively monitor product usage across your accounts to further gauge account health - Engage customer executives as champions to drive adoption beyond the initial team - Lead onboarding workshops and training on new functionality - Work with Account Management and Sales to convert successful pilots into org-wide deployments - Advocate for customer needs with product and engineering, and turn one-off solutions into standardized offerings What We’re Looking For - 3+ years in customer success, solutions consulting, technical account management, or technical consulting at a tech company - Working knowledge of AI/ML workflows or the agent development lifecycle, demonstrated through hands-on work, formal education, or self-study - Proven ability to demo a technical product and connect it to business outcomes - Demonstrated ability to understand Python or SQL scripts - Strong communication and executive presentation skills, with experience influencing senior stakeholders - Depth in at least one industry (financial services, healthcare, retail, tech) or function is a plus - Bachelor’s degree in a technical or quantitative field is ideal; advanced degree a plus - Strong organizational instincts as you’ll manage multiple accounts The estimated annual salary and variable compensation for this role is between $165,000-$215,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. More About Arize Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture - Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI - Culturally conscious events such as LGBTQ trivia during pride month - We have an active Lady Arizers subgroup
AI Solutions Manager, East
About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform , empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com , Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. The Opportunity As an AI Solutions Manager, you’ll partner with some of the most innovative AI/ML teams in the world. You’ll play a pivotal role in driving adoption, shaping product use cases, and ensuring our customers succeed in leveraging AI to achieve real-world impact. This role is a blend of solutions consulting, customer engagement, and AI product feedback. You’ll work directly with the ML and AI engineering teams at some of the most sophisticated companies in the world and help them observe, evaluate, and improve the AI they run in production. You’ll own the customer lifecycle end to end: identifying the business problem, defining what success looks like with their stakeholders, shaping how Arize fits their architecture, and driving adoption through renewal and expansion. You’ll also feed what you learn back into the product, so solutions you build for one customer become repeatable for the next. While we are a remote-first company, the nature of this role requires candidates to be based in the New York City metro area/EST time zone. What You’ll Do - Own a portfolio of enterprise accounts: account plans, regular touchpoints, usage monitoring, QBRs, and renewals - Conduct discovery with customer’s AI/ML teams to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions. - Collaborate with technical teams, including Forward Deployed AI Engineers, to address complex customer needs, ensure smooth implementation, and advise on technical best practices. - Run QBRs to demonstrate account value, identify areas of opportunity, and strengthen customer partnerships. - Proactively monitor product usage across your accounts to further gauge account health - Engage customer executives as champions to drive adoption beyond the initial team - Lead onboarding workshops and training on new functionality - Work with Account Management and Sales to convert successful pilots into org-wide deployments - Advocate for customer needs with product and engineering, and turn one-off solutions into standardized offerings What We’re Looking For - 3+ years in customer success, solutions consulting, technical account management, or technical consulting at a tech company - Working knowledge of AI/ML workflows or the agent development lifecycle, demonstrated through hands-on work, formal education, or self-study - Proven ability to demo a technical product and connect it to business outcomes - Demonstrated ability to understand Python or SQL scripts - Strong communication and executive presentation skills, with experience influencing senior stakeholders - Depth in at least one industry (financial services, healthcare, retail, tech) or function is a plus - Bachelor’s degree in a technical or quantitative field is ideal; advanced degree a plus - Strong organizational instincts as you’ll manage multiple accounts The estimated annual salary and variable compensation for this role is between $165,000-$215,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. More About Arize Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture - Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI - Culturally conscious events such as LGBTQ trivia during pride month - We have an active Lady Arizers subgroup
AI Solutions Manager, Digital Native
About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform , empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com , Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. The Opportunity As an AI Solutions Manager, you’ll partner with some of the most innovative AI/ML teams in the world. We are looking for a fast-paced, client-obsessed candidate with an entrepreneurial mindset to nurture, and grow our Commerical/Digital Native customers. You’ll play a pivotal role in driving adoption, shaping product use cases, and ensuring our customers succeed in leveraging AI to achieve real-world impact. This role is a blend of solutions consulting, customer engagement, and AI product feedback. You’ll work directly with the ML and AI engineering teams at some of the most sophisticated companies in the world and help them observe, evaluate, and improve the AI they run in production. You’ll own the customer lifecycle end to end: identifying the business problem, defining what success looks like with their stakeholders, shaping how Arize fits their architecture, and driving adoption through renewal and expansion. You’ll also feed what you learn back into the product, so solutions you build for one customer become repeatable for the next. While we are a remote-first company, the nature of this role requires candidates to be based in the San Francisco Bay area. What You’ll Do - Own a portfolio of commerical/digital native accounts: account plans, regular touchpoints, usage monitoring, QBRs, and renewals - Conduct discovery with customer’s AI/ML teams to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions. - Collaborate with technical teams, including Forward Deployed AI Engineers, to address complex customer needs, ensure smooth implementation, and advise on technical best practices. - Run QBRs to demonstrate account value, identify areas of opportunity, and strengthen customer partnerships. - Proactively monitor product usage across your accounts to further gauge account health - Engage customer executives as champions to drive adoption beyond the initial team - Lead onboarding workshops and training on new functionality - Work with Account Management and Sales to convert successful pilots into org-wide deployments - Advocate for customer needs with product and engineering, and turn one-off solutions into standardized offerings What We’re Looking For - 2+ years in customer success, solutions consulting, technical account management, or technical consulting at a tech company - Working knowledge of AI/ML workflows or the agent development lifecycle, demonstrated through hands-on work, formal education, or self-study - Proven ability to demo a technical product and connect it to business outcomes - Demonstrated ability to understand Python or SQL scripts - Strong communication and executive presentation skills, with experience influencing senior stakeholders - Depth in at least one industry (financial services, healthcare, retail, tech) or function is a plus - Bachelor’s degree in a technical or quantitative field is ideal; advanced degree a plus - Strong organizational instincts as you’ll manage multiple accounts The estimated annual salary and variable compensation for this role is between $165,000-$215,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. More About Arize Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture - Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI - Culturally conscious events such as LGBTQ trivia during pride month - We have an active Lady Arizers subgroup
Staff Technical Program Manager
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond. We operate at the cutting edge of Applied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better. JOB SUMMARY We are looking for a seasoned Staff Technical Program Manager to be the first TPM in our newly opened Sunnyvale, CA office. This is a high-autonomy, high-visibility role at the intersection of AI/ML infrastructure, robot perception, and strategic partnerships. You will lead complex, cross-functional programs spanning ML operations and perception for humanoid robotics, while serving as the primary program interface to one of our most important strategic AI partners — ensuring crisp communication, aligned priorities, and delivery against shared goals. As the first TPM on the ground in Sunnyvale, you will wear many hats: standing up program structure for a new site, driving ML and perception program execution, and shaping how Apptronik collaborates with world-class external AI teams. You will set the strategic direction for how these programs are planned and executed, drive alignment between executive stakeholders and engineering leadership, and help scale the program management function as the Sunnyvale team grows. ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES - New Site Program Leadership: Serve as the first TPM in the Sunnyvale office. Establish program management structure, cadences, and operating rhythms for a new and rapidly growing site, while staying tightly connected to Austin-based engineering and program leadership. - MLOps Program Ownership: Own end-to-end execution of ML infrastructure and operations programs — including data pipelines, training and evaluation infrastructure, model release processes, and the tooling that enables rapid, reliable iteration on robot learning systems. - Perception Program Leadership: Lead and TPM the perception team's program execution for humanoid robotics — driving roadmaps execution, milestones, and cross-functional integration of perception capabilities into the full robot stack. - Strategic Partner Interface: Act as the primary program conduit to a key strategic AI partner. Ensure clear, proactive, bidirectional communication; translate partner needs into internal execution plans; track joint milestones and deliverables; and ensure Apptronik is consistently meeting partner expectations while advocating for Apptronik's priorities. - Ownership: Own program execution end to end. Set strategic direction, identify resource requirements, and be accountable for executing on company goals and roadmap. Challenge assumptions at the org level and foster a results-driven culture. - Orchestration: Partner directly with engineering leadership to execute solutions and adapt quickly when priorities shift. Coordinate across engineering, research, operations, and executive leadership — internally and externally — to keep all stakeholders aligned and informed. - Communication: Proactively communicate program status, risks, trade-offs, and decisions to executive stakeholders and partner counterparts. Clearly articulate requirements, goals, and milestones across teams and up to leadership. - Leadership & Mentorship: Mentor and develop other TPMs as the Sunnyvale team scales. Define and continuously improve program management practices, frameworks, and tooling that elevate the entire function. SKILLS AND REQUIREMENTS - MLOps & ML Infrastructure Program Leadership — Deep experience running programs across the ML lifecycle: data collection and curation, training and evaluation infrastructure, edge inference and model deployment, and the data pipelines that enable robot skill learning at scale. Fluency in the tooling, workflows, and failure modes of modern ML systems spanning cloud and edge. - Perception Systems Experience — Demonstrated ability to lead programs for perception and sensing teams (computer vision, sensor fusion, tactile and multi-modal sensing, state estimation, scene understanding), ideally for robotics or other real-world systems. - Partner & External Stakeholder Management — Proven success serving as the program interface to external technical partners: managing joint roadmaps, resolving cross-org dependencies, and building trust through consistent, transparent communication. - Hands-On Technical Partnership — Deep ability to engage with engineering and research teams on architectural decisions, interface definition, and complex technical problem-solving — operating as a peer to engineering leadership, not just managing schedules. - Comfort with Ambiguity & Breadth — Willingness and ability to wear many hats as one of the initial hires at a new site: program execution, site operations, partner management, and function building, often in the same week. - System-Level Product Development Leadership — Experience leading hardware + software product life cycles from concept through deployment, across multiple concurrent programs. - Cross-Disciplinary System Integration — Expert-level experience coordinating AI/ML, software, firmware, controls, and hardware teams to deliver fully integrated, sophisticated systems. - New Technology Introduction — Demonstrated success maturing novel technologies from prototype toward scalable deployment, including subsystem qualification, reliability, and supplier/partner co-development models. - Program Execution & Results Orientation — Strong track record of driving measurable outcomes at scale, managing critical path and interdependencies across portfolios, and delivering against company roadmap goals. - Influence in Resource-Constrained Environments — Proven ability to align product, engineering, research, and executive teams, prioritize across competing demands, and execute successfully in fast-paced, limited-resource settings. - Strategic Thinking — Ability to translate company strategy into actionable program plans and influence roadmap decisions through data-driven insight. EDUCATION and/or EXPERIENCE - Bachelor's degree in Electrical, Computer, Mechanical Engineering, Computer Science, or Applied Physics required - 10+ years of experience in technical program management or engineering management, including leading cross-functional teams across ML/AI and software, with demonstrated experience operating at a senior or staff level - Preferred: Experience in robotics, autonomous systems, or embodied AI - Preferred: Direct experience with robot learning, manipulation/dexterous systems, modeling, or large-scale ML data and training programs - Preferred: Experience with edge AI inference platforms and embedded systems integration - Preferred: Master's degree in Engineering or Computer Science PHYSICAL REQUIREMENTS: - Prolonged periods of sitting at a desk and working on a computer - Must be able to lift 15 pounds at times - Vision to read printed materials and a computer screen - Hearing and speech to communicate The annual compensation range for this position is $250,000-$285,000. *This is a direct hire. Please, no outside Agency solicitations. Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Staff Product Manager, Applied AI
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond. We operate at the cutting edge of Applied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better. JOB SUMMARY You will focus on driving the product vision, ensuring seamless execution across the complex hardware/software divide, and translating market demands into user oriented, executable product roadmaps. ESSENTIAL DUTIES AND RESPONSIBILITIES / KEY ACCOUNTABILITIES - Own and maintain the physical AI model roadmap: product vision, milestones, and release cycles for the core model stack - Drive the integration, adaptation, and fine-tuning of foundation models into Apollo's autonomy stack. Sequence which capabilities graduate into the shipping model, balancing capability velocity against reliability and safety. - Translate customer use cases into model capability requirements and acceptance criteria - Partner with our data collection and evaluation team on benchmarks, real-world evaluation, and the success criteria that gate real-world deployment. - Own the data strategy that feeds model development: define what to collect and why, the target tasks and behaviors, and the quality bar. - Align data technology and operations teams on collection techniques, tooling, and quality expectations. - Define and prioritize use cases based on business impact, feasibility, and customer needs. - Ensure that product development efforts align with real-world economic value for customers. - Synthesize insights from user research, customer meetings, usage data, and sales feedback into a strategy that delivers business objectives and customer benefits. - Work with industrial design, user experience, and engineering teams to conceptualize and implement interactive features. - Define product features/enhancements and communicate requirements to engineering teams via clearly written requirements documents, diagrams, and concise verbal communication. - Support product marketing initiatives, partner relationships, and other opportunities to accelerate the adoption of our products. SKILLS AND REQUIREMENTS - 7+ years of experience in product management - Strong understanding of modern robot learning techniques including imitation learning, reinforcement learning - Demonstrated experience integrating, adapting, or fine-tuning models - Strong familiarity with the constraints of running large neural networks on physical edge devices - Strong analytical skills with experience in performance tracking and data-driven decision-making. - Excellent communication skills, both verbal and written, enabling translation of technical insights into business impact. - You make decisions in uncertainty, prioritizing velocity over perfection - You prioritize user feedback, promoting and advocating for that voice to internal teams. NICE TO HAVE - Experience with autonomous robots or autonomous vehicles. - Experience using simulation tools to improve user experience. - Hands-on experience training or fine-tuning foundation - Experience with data collection operation (teleoperation fleets, annotation and curation pipelines). - Experience working with customers in light and heavy duty industrial environments - Experience with robotics and functional safety standards (ISO 10218, ISO/TS 15066, ISO 13482, RIA 15.08). EDUCATION and/or EXPERIENCE - Bachelor's degree (or equivalent) in mechanical, electrical, systems, or robotics engineering, or a related field; advanced degree or MBA helpful. - At least 10 years of experience in product management or engineering PHYSICAL REQUIREMENTS - Prolonged periods of sitting at a desk and working on a computer. - Ability to spend time on lab and manufacturing floors, and to travel to supplier and manufacturing sites as needed. - Must be able to lift 15 pounds at times. - Vision to read printed materials and a computer screen; hearing and speech to communicate. Salary range for CA: $275,000 - $350,000 *This is a direct hire. Please, no outside Agency solicitations. Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Software Engineer (SDS Core - Evaluation)
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co http://applied.co. We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions ABOUT THE ROLE SDS Evaluation owns how Applied Intuition measures the performance of its autonomy stacks. You'll build the datasets, metrics, and visualizations that tell perception, prediction, and planning developers whether a change improved the stack, where it remains weak, and what to work on next — the signal teams use to steer development and that leadership uses to judge release readiness. This role sits at the intersection of autonomy engineering and measurement. You'll work closely with stack developers to turn their open questions into rigorous metrics, drawing on both real road data and novel synthetic scenario generation to evaluate behaviors too rare or too dangerous to encounter on the road. You'll also improve the evaluation infrastructure itself, making runs fast, reliable, and easy to interpret. AT APPLIED INTUITION, YOU WILL: - Define and own metrics for one or more autonomy behavior areas, from requirements through implementation - Build and curate the datasets — real and synthetic — that those metrics run against - Design visualizations and reporting that make progressions and regressions obvious at a glance - Partner with perception, prediction, and planning teams to turn their open questions into measurable signal - Improve evaluation infrastructure: trigger paths, run time, reliability, and result presentation - Mentor junior engineers and contribute to defining best practices for data-centric development WE'RE LOOKING FOR SOMEONE WHO HAS: - Master’s, PhD, or equivalent work experience in Engineering such as Computer Science, Electrical Engineering, Software Engineering - 3–5 years of experience in software or data infrastructure engineering - Expertise in building and scaling data pipelines, distributed systems, or ML infrastructure. - Proficiency in Python and strong knowledge of data frameworks (Spark, Airflow, Kafka, etc.) - Experience working with large-scale datasets and understanding data-driven development cycles - Familiarity with machine learning workflows or model training/deployment, especially automation of those processes - Strong systems thinking and ability to work across multiple parts of the stack (data, infra, and ML) - Interest in seeing the direct impact of your infrastructure work on how vehicles perform and improve - Ability to move fast, learn quickly, and mentor others while growing with the team NICE TO HAVE: - Experience with automotive (AV) or robotics systems - Experience with highly automated ML training workflows - Prior contributions to systems that connect data-driven model iteration loops (“data flywheel”) Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws. FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact careers@applied.co. We will work with you!
Software Engineer
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co http://applied.co. We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions About the role - Design, implement, and deploy software and machine learning components focused on behavior prediction and environmental interactions. - Build scalable software to support inference and decision-making in dynamic environments. - Build and optimize pipelines to process complex datasets, including time-series and sensor data. - Transform raw logs into structured datasets optimized for training large-scale modeling and forecasting algorithms. - Develop testing and evaluation frameworks to validate system performance within simulated environments. - Measure model accuracy and logic robustness against real-world ground truth data to drive iterative improvements. - Implement and refine algorithms for state estimation and decision planning. - Leverage generative or deep learning methods to improve the efficiency and accuracy of models dealing with uncertainty. - Collaborate with cross-functional teams to integrate models into production-grade systems, ensuring low-latency performance and seamless interaction with upstream modules. - Develop and maintain software tools, libraries, and infrastructure for visualizing model outputs, managing experiment tracking, and automating workflows for continuous model delivery. - Maintain high code quality through modular design, implementing rigorous testing strategies (including mocks and regression tests) suitable for complex, data-intensive systems. We're looking for someone who has: - Requires a Bachelor’s or foreign degree equivalent in Computer Science or related field - One (1) year of experience in job offered or any occupation in which the required experience was gained. Employer will accept knowledge gained through employment experience, research, or academic courses of study: - Python - Go or C++ - Building scalable software systems and data-intensive pipelines - Building and training models using deep learning frameworks - Data modeling - SQL - Modern Version control (GIT) - Deep Neural Networks, Generative Models, or Reinforcement Learning - Cloud infrastructure - Containerization - Orchestration tools to deploy and scale software services #LI-DNP Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws. FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact careers@applied.co. We will work with you!
Robot Learning Engineer - Manipulation
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co http://applied.co. We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions ABOUT THE ROLE Applied Intuition is building a robot learning platform on Dana, its physical AI platform: the data infrastructure and training intelligence a company needs to make any robot learn an industrial task and keep improving it. The robotics team builds that platform and uses it to deliver robot autonomy on customer lines, training, evaluating, and deploying policies on real robots doing real industrial tasks. Everyone on the team works hands-on with hardware and sees their work reach customers. As a Robot Learning Engineer, you will work on manipulation policies from task definition to a policy running reliably on a physical robot. You will train and fine-tune policies, understand why they fail, and make them dependable enough for customer use. Success is measured on the robot, not only on offline benchmarks. We are open to candidates at different experience levels who meet the requirements. We value demonstrated work on real systems, including equivalent practical experience, over a particular degree or title. AT APPLIED INTUITION, YOU WILL: - Work on the full learning loop for manipulation tasks: task definition, demonstration collection, data curation, training, real-robot evaluation, and deployment. - Train and fine-tune manipulation policies, from large pretrained models such as vision-language-action models to compact task-specific policies, and choose the right approach for each task. - Develop repeatable recipes for industrial tasks such as pick-and-place, bimanual handling, and contact-rich assembly, adding force or tactile signals where they help. - Deploy policies on edge compute and validate observation processing, action interfaces, and control timing on the robot. - Turn failures and human interventions into better data, better models, and better evaluation. - Measure what customers care about, including success rate, cycle time, intervention rate, and the data and time needed to reach a target, and improve those numbers task after task. - Package recipes and models so the next task, and the next robot, starts from what was learned on the last one. WE'RE LOOKING FOR SOMEONE WHO HAS: - 1+ years of professional experience - A Bachelor's degree in Computer Science, Software Engineering, or equivalent - Trained or fine-tuned a learned manipulation policy and deployed and evaluated it on a physical robot. - Strong Python and PyTorch skills, with the ability to write maintainable training, evaluation, and deployment code. - Practical depth in imitation learning and at least one modern policy family, such as vision-language-action models, diffusion policies, or action-chunking transformers. - Working knowledge of robot kinematics, coordinate frames, camera calibration, and the interface between learned actions and low-level control. - The habit of diagnosing failures with controlled experiments across data, sensing, model, and execution. - Comfort taking on open-ended problems and communicating tradeoffs clearly to teammates at the robot. NICE TO HAVE: - Experience with bimanual manipulation, force-controlled insertion, tactile sensing, or dexterous hands. - Experience with ROS 2, LeRobot, or simulators such as Isaac and MuJoCo. - Experience optimizing inference on NVIDIA Jetson or GPU edge systems, including model export, compilation, or quantization. - Experience with reinforcement learning post-training, learning from interventions, or transferring policies across robot platforms. Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws. FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact careers@applied.co. We will work with you!
Research Scientist - Humanoid Robotics
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co http://applied.co. We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions About the role We are looking for a founding senior Research Scientist with a TL growth path within the Research Group at Applied Intuition. Robotics is a core vertical of our physical AI platform alongside autonomous vehicles — early stage, but with the full backing, resources, and infrastructure of a $15B company behind it. Our vision is for robotics to grow into its own vertical, and the person in this role will play a defining part in shaping that trajectory. Humanoids and dexterous manipulation represent one of the last unsolved frontiers of physical AI, and this is where the most interesting research problems live. Unlike an academic lab constrained by professor-driven agendas, or a VC-backed startup optimizing for the next demo, this role offers something rare: real research autonomy paired with a concrete path to real-world deployment. You will help set the research agenda, work on a flat team in close collaboration with senior researchers Yihan Hu and Wei, and see your methods deployed into humanoid robots and dexterous hands through Applied's tools and infrastructure. Our Research Group is composed of leading experts from top institutions and companies, recognized for their exceptional academic and industry contributions — including eight Best Paper awards at premier conferences and journals such as CVPR and ICRA. Learn more at appliedintuition.com/research http://appliedintuition.com/research. We are hiring someone who has strong convictions about their technical roadmap and is looking for a place with the resources and scope to execute on them. At Applied Intuition, you will: - Set and drive the research agenda for humanoid robotics, with a focus on dexterous manipulation and relevant frontier research problems - Conduct original research on world-action foundation models and reinforcement learning, delivering manipulation policies for humanoid robotic systems - Serve as a founding senior researcher on the humanoid effort, shaping both the technical direction and the growth of the team - Publish at top-tier venues (CoRL, ICRA, RSS, and similar) alongside other Research Scientists and interns - Collaborate closely with Research Engineers and product teams to deploy your work into real humanoid platforms and dexterous hands - Partner with senior researchers Yihan Hu and Wei on cross-cutting problems spanning autonomy and robotics We’re looking for someone who has: - 1+ years of industry research experience, or a completed post-doc in a relevant field - A strong research record in robotics, manipulation, robot learning, or closely related areas, with publications in top-tier conferences or journals such as CoRL, RSS, ICRA, IROS - PhD in machine learning, computer vision, robotics, or a closely related field - Strong technical convictions and a clear point of view on where the field is going — and the self-motivation to drive that vision to execution for a team of researchers - Technical and professional maturity: able to operate independently as a senior IC and set direction for others - Passion for scalable, real-world robotics and physical AI, not just benchmark performance Nice to have: Hands-on experience in one or more of the following: - Humanoid robotics platforms, dexterous manipulation and multi-fingered hands - VLA/WAM and post-training for robotics - Large-scale RL in robotic simulation, and sim-to-real transfer - Imitation learning from teleoperation or human demonstration data - Prior Tech Lead or founding-team experience Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws. FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact careers@applied.co. We will work with you!
Product Manager
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co http://applied.co. We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions Applied Intuition is building Dana, the agentic platform for physical AI, bringing together the power of agents with a decade of tooling, infra, and data expertise to accelerate the development of autonomy across every domain. Applied Intuition is looking for product managers who want to play a pivotal role in the growth of this platform. This role carries ownership on two levels: platform ownership of core capabilities shared across multiple verticals, and deep hands-on execution in one or more verticals using this platform. You will work directly with our customers that include top OEMs and autonomy developers as well as multiple autonomy teams at Applied Intuition across cars, trucks, mining and beyond. This is a high visibility role with lots of responsibility. We expect you to drive big outcomes for the team with a clear sense of ownership and product direction. Responsibilities: - Develop a clear point of view on what to build, grounded in the market, customer use cases, pain points, and business goals — both at the platform level and within your specific vertical(s). - Decide which platform capabilities should be vertical-specific versus vertical-agnostic, and drive that prioritization with engineering. - Partner closely with product, engineering, and design to shape the product vision, work through tradeoffs, and prioritize what gets built. - Partner actively with TPMs and eng managers to own the complete product lifecycle, from launch through ongoing releases for your specific areas. - Present product capabilities to customers regularly, gather feedback, spot areas for growth, and help scale the tools org. - Sharpen product positioning and create marketing briefs, blog posts, and other content that helps tell Applied's story - Work with sales and customer leads to shape go-to-market strategy, pricing, and customer engagement Required: - 4+ years of Product Management experience at a top tech company or high-growth startup - Ability to build trust and relationships across a large engineering org, and quickly get up to speed on complex, multi-dimensional topics - Insatiable curiosity about what's next, paired with an ambitious drive to execute and win - Strong technical background, with real understanding and / or hands-on experience in software development. - Prior experience in Physical AI — autonomy, robotics, simulation, computer vision, or ML — is a strong differentiator and often leads to a good fit - MS/BS in Computer Science, Electrical Engineering, or equivalent experience - Proven ability to manage all aspects of a product throughout its lifecycle - Excellent written and verbal communication skills Nice to have: - Prior experience in agentic AI — assistants, agents, eval frameworks, model training and evaluation would be a great differentiator - MBA from a top program, for a well-rounded view of product and business development - A sharp instinct for recognizing product-market fit - Exposure to hyper growth at a startup from Series A to IPO Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws. FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact careers@applied.co. We will work with you!
ML Perception Software Engineer
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co http://applied.co. We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions ABOUT THE ROLE We are looking for a software engineer with expertise in perception for autonomous vehicles or mobile robots. Your contributions will focus on building out key capabilities of perception modules within an autonomous vehicle stack, such as building 4D world representations to support end-to-end autonomy. You will also drive the design and development of computer vision and machine learning techniques to enable self-driving vehicles to navigate. In addition to your engineering contributions, by working in our dynamic and customer-focused team culture, you will contribute to and learn from best practices in the nascent autonomy industry. We move fast and focus on excellence, for our products and for our business. If you are hands-on and looking for a place to have a multiplying effect on making autonomous systems a reality, Applied Intuition is the place for you! We are hiring for all levels. AT APPLIED INTUITION, YOU WILL: - Train, modify, and create beyond-SOTA algorithms for constructing powerful world representations that can be used for perception, world modeling, and ML driven autonomy - Test and evaluate your algorithms on real vehicles, owning large portions of the autonomy stack and ensuring that they provide real improvements to the driving abilities - Work closely with our data, behavior, and research teams to develop the most advanced autonomy software for all domains to deploy to production for our customers WE'RE LOOKING FOR SOMEONE WHO HAS: - 3+ years of experience building software components or (sub) systems that address real-world perception challenges - Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field - Strong proficiency in C++ and Python - Experience building machine learning models from data collection to production and deployment - Deep understanding of the concepts and methods behind any frameworks or libraries that they worked with - Interest in keeping up to date in their field, identifying trends and figuring out which new ideas are promising and which are risky. NICE TO HAVE: - MSc or PhD in perception or closely related field - Experience working in modern ML-based perception for autonomous systems - Deep knowledge of the current trends in computer vision including perception, reconstruction, diffusion, world models and pre training vision models. Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws. FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact careers@applied.co. We will work with you!
AI Performance Engineer
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co http://applied.co. We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions About the Role We are looking for a performance engineer who specializes in making large-scale machine learning workloads fast and cost-efficient in the datacenter. This role is focused on distributed training runs spanning many nodes, and high-throughput batch inference sweeping petabytes of real-world autonomy logs for auto-labeling, data mining, ground-truth generation, and evaluation. The optimization target here is not tail latency on a vehicle - it is throughput, cluster goodput, and cost per unit of data processed. A training run that wastes 30% of its GPU-hours on stalled data loaders, or an offline inference sweep that takes a week instead of a day, directly slows down how fast the whole company can iterate. You will own the gap between what our fleet of accelerators is theoretically capable of and what our workloads actually achieve: profiling across the stack, finding where the compute and the wall-clock time actually go, and closing the difference. You will work at the intersection of accelerators, ML frameworks, and large-scale data infrastructure, partnering with the teams who own each layer to land wins that show up in training time-to-result and offline processing cost. At Applied, we encourage all engineers to take ownership over technical and product decisions, closely interact with users to collect feedback, and contribute to a thoughtful, dynamic team culture. At Applied, you will: - Profile and optimize distributed training end to end - data loading and preprocessing, augmentation, kernel execution, gradient communication, and checkpointing - Optimize large-scale offline and batch inference over petabyte-scale sensor logs: batching and scheduling strategies, quantization and low-precision execution, graph optimization, and accelerator saturation across long-running sweeps - Establish roofline and performance models for our workloads, quantify the gap between achieved and theoretical performance, and stack-rank optimization opportunities by impact and effort - Improve multi-node scaling efficiency: sharding and parallelism strategies, collective communication, interconnect utilization, and memory-bandwidth and kernel-fusion bottlenecks - Drive cluster goodput - reduce GPU idle time from input pipeline stalls, storage and network I/O, scheduling gaps, stragglers, and failure recovery on long-running jobs - Build the benchmarking, observability, and regression-detection tooling that keeps performance from silently degrading as models and code evolve - Collaborate with engineers across functions to solve complex data and compute problems at scale - Contribute to a team culture that values effective collaboration, technical excellence, and innovation WE'RE LOOKING FOR SOMEONE WHO HAS: - Bachelor's degree or higher in computer science or adjacent fields. - 1 or more years of hands-on experience with ML performance engineering: profiling, roofline analysis, throughput optimization, and root-cause investigation in production systems. - 5 or more years of overall experience - Experience with distributed multi-node training at scale (FSDP, DeepSpeed, Megatron, NCCL, or equivalent), including diagnosing scaling inefficiency as node count grows - Deep familiarity with GPU or accelerator performance concepts - memory bandwidth, kernel launch overhead, occupancy, quantization, collective communication - Experience with high-throughput or batch inference systems (NVIDIA Triton Inference Server, TensorRT, ONNX Runtime, Ray, or similar) - Fluency in Python and proficiency in C++ or another systems language - Excellent debugging, analytical, and problem-solving skills - A deep understanding of machine learning foundations, and the ability to develop technical solutions for problems with no established playbook Nice to have: - GPU kernel development experience: CUDA, Triton, CUTLASS, or hand-tuned attention implementations - Experience with profiling toolchains such as Nsight Systems/Compute, PyTorch Profiler, or perf - Experience with GPU scheduling and orchestration on Kubernetes, Slurm, or Ray, including multi-tenant cluster utilization - Experience with fault tolerance and elastic training for long-running jobs - checkpointing strategy, straggler mitigation, preemption recovery - Familiarity with autonomy or robotics data (ROS, OpenCV, multi-sensor log formats) Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws. FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact careers@applied.co. We will work with you!
Research Scientist/Engineer (Science of Scheming)
Application deadline: We are conducting interviews actively and aim to fill this role as soon as we find someone suitable. ABOUT THE OPPORTUNITY We want to develop a “Science of Scheming”. The goal is ambitious and we’re looking for Research Scientists and Research Engineers who are excited to build a new hard science from the ground up. YOU WILL HAVE THE OPPORTUNITY TO - Collaborate with leading AI developers. We partner with multiple labs, giving you access to a breadth of models that no single AI lab could offer. Through long-term research collaborations, your work directly impacts how the most capable AI systems are built and deployed. - Deeply study the RL dynamics that lead to the emergence of reward-seeking, evaluation awareness or misaligned preferences. Design and train model organisms, and scale your insights to frontier systems. - Work towards “Scaling laws of scheming”. Build the empirical foundations to predict how scheming risks evolve as models scale in capability. - Develop novel and ambitious evaluation techniques that have a chance of scaling to highly evaluation aware models. - Deep dive into AI cognition. Discover patterns in the reasoning processes of frontier AI systems that no one else has ever observed before. Note: We are not hiring for interpretability roles. KEY REQUIREMENTS A diverse range of skill sets will be required to drive our research agenda forward and we don’t expect any single candidate to fulfill all the characteristics below. That being said, a successful candidate likely displays excellence at one or several of the following: - Fast-paced empirical research: You can design and execute experiments. You always strive to speed up iteration cycles and relentlessly drive progress towards the next empirical milestone. - Conceptual insights about scheming: You have deeply thought about the problem of AI scheming and are familiar with all the relevant literature. You are able to turn vague and undefined concepts into concrete and insightful experiment proposals. - Software engineering skills: Strong software engineering skills correlate highly with effective execution, even in an era of AI agents. Our entire stack uses Python. - Intense interest in AI progress: You always stay up to date on the latest model releases, and continuously tinker with new and creative AI workflows to speed up your work. You are fascinated by AI cognition and actively spend time trying to understand how they think. - Experience RL-training LLMs: You have hands-on experience in training LLMs via reinforcement learning. You have encountered and resolved countless painful issues from GPU failures to debugging learning instabilities. - Strong analytical skills: You bring rigorous quantitative chops from working on fields such as scaling laws in LLMs, statistical physics, dynamical systems, applied statistics etc. You're comfortable building mathematical models of empirical phenomena and know how to extract signal from noisy data. We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine. We don’t require a formal background or industry experience and welcome self-taught candidates. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Salary: 100k - 200k GBP (~150k - 270k USD). We will be looking to meaningfully raise salaries soon. Flexible work hours and schedule Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable) LOGISTICS Time Allocation : Full-time Location : This is an in-person role working out of our London or San Francisco office. We offer flexible working hours and wfh arrangements. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route.
AI Security Researcher
THE OPPORTUNITY Apollo Research works with most frontier AI companies (OpenAI, Anthropic, Google, Meta, Thinking Machines and others) to test their models before deployment and collaborate on fundamental scheming research. Our coding agent security product, Watcher, is deployed in production and monitors billions of agent tokens per month across engineering teams at agent-building scale-ups and enterprise. Security exists at Apollo to safeguard the trust frontier labs place in us and to enable that research. Our own team uses AI agents extensively across its work, which makes Apollo both a target and a testbed. We’re hiring AI Security Researchers to join the Infra & Security Team. In this role, you will identify, research and remediate both conventional threats and the novel risks introduced by AI agents that can affect Apollo and our mission. You will redefine and work on a new class of insider risk that didn’t exist before. RESPONSIBILITIES Hold responsibility for the security of Apollo’s internal surfaces. Red-team internal software, infrastructure, and AI agent access controls/monitoring. Build realistic attack trajectories. Design solutions for novel or emerging threats in the AI security space, where no existing playbook applies. Set the standard for our security posture in these areas. Track adversary tactics, techniques, and campaigns relevant to Apollo's threat landscape, and translate that intelligence into tuned, high-signal detections. Own each finding through to a deployed fix. Build and roll out durable controls: checks, tests, defaults, detections. Socialise them, work with engineers to implement, and hold remediation to a high bar. KEY REQUIREMENTS Must haves 5+ years in security roles in a hands-on technical capacity (not purely GRC/compliance). You'd need to be able to think structurally about threat modelling and failure modes. You need to be able to read code, understand infrastructure, and evaluate technical controls. Direct experience with offensive security. Threat modelling, red teaming, etc. Knowledge of application or cloud. Ideally you owned or significantly contributed to the security posture of an organisation or product that handles sensitive customer data. Engineering mindset. You treat security as an engineering problem. You can translate your findings into fixes and controls, such as paved roads, custom detection rules, adversarial test suites, CI/CD integrations. You prioritize automation and systems-level thinking to scale security, and you are comfortable leveraging AI to accelerate development. Startup pace. You are excited about a fast-moving environment, comfortable with ambiguity and changing priorities, and willing to grind when it matters. Strong written communication. This role produces a lot of artifacts (threat models, reports, failure mode documentation) and they need to be clear and precise. Nice to haves Experience with AI/ML systems security or LLM security. Detection engineering, SOC, or incident analysis experience. Familiarity with insider threat programs or insider risk frameworks. Explicitly not required Formal AI safety research background. We need security practitioners who can learn the AI safety context, not AI safety researchers who need to learn security. We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. REPRESENTATIVE PROJECTS Red-team Apollo's agent sandboxes used for evals: Test whether an agent can escape isolation, exfiltrate data, detect it's being evaluated, or otherwise undermine the validity of eval results. Your findings will harden the sandbox infrastructure the research team depends on to trust its own eval results. Comprehensive coding agent threat model : Map every way a coding agent with internal access: credentials, code, network, execution ability, could attack Apollo, benchmarked against what a human insider with the same access could do. As well as the representative projects from the Security Engineer role BENEFITS This role offers market competitive salary, equity, and competitive benefits. Salary: San Francisco : $214,000 – $280,000; London : £144,000 – £189,000. We will be looking to meaningfully raise salaries soon. Our engineers effectively have an unlimited token budget. If a better result costs more compute, use it. Flexible work hours and schedule Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable) LOGISTICS Time Allocation: Full-time Location: This is an in-person role working out of our London or San Francisco office. We offer flexible working hours and some wfh arrangements. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route.
AI Security & Control Researcher
THE OPPORTUNITY THE OPPORTUNITY Apollo Research works with most frontier AI companies (OpenAI, Anthropic, Google, Meta, Thinking Machines and others) to test their models before deployment and collaborate on fundamental scheming research. Our coding agent security product, Watcher, is deployed in production and monitors billions of agent tokens per month across engineering teams at agent-building scale-ups and enterprises. We are looking for a security & control expert to help us design better threat models and control protocols against AI adversaries, and improve the effectiveness and security of Watcher. This is truly a "start-up role" in the sense that you have significant say in shaping the direction of the role. This is an individual contributor role but could lead to management responsibilities eventually, if desired. KEY RESPONSIBILITIES Threat modeling for coding agents Develop threat models for coding agents under the assumption that they could be misaligned or compromised. This includes near-term threats like AI agents leaking private internal data and long-term threats like agents sabotaging safety research. Treat coding agents through the lens of insider risk: they have credentials, access to code, network access, and the ability to execute arbitrary actions, just like a malicious insider would (see Control agenda ). Map out kill chains and attack progressions similar to frameworks like MITRE ATT&CK, adapted for agentic AI. See e.g. the Agentic Loss-of-Control Threat Matrix for an example of a high-quality contribution. Build and maintain our “coding agent security levels” which define what level of robustness Watcher provides against different categories of failure modes. These levels should be concrete, testable, and usable both internally (to guide product priorities) and externally (to communicate our security posture to customers). Failure mode library and literature Maintain our library of coding agent failure modes and keep it comprehensive, accurate, and current. Stay up to date with the academic and industry literature on coding agent security, AI security, and adjacent fields (prompt injection, deception, accidental security implications, supply chain attacks on AI systems, etc.). Attack design for monitor development Design realistic attack trajectories and example exploits for monitor development and backtesting, work with the research team to ensure monitors are trained and evaluated against credible adversarial behavior. Trajectory adjudication Serve as security adjudicator for flagged trajectories. When monitors flag ambiguous agent behavior, determine whether it represents a genuine attack, a benign-but-unusual workflow, or needs deeper investigation, and feed those judgments back into monitor improvement. Red-teaming Watcher Red-team and improve Watcher's monitors and policies, document findings, and feed them into product improvement. Work with the technical research staff to build adversarial test suites into the backtesting pipeline. *This role is distinct from the AI Security Researcher role on Apollo's Infra & Security team, which threat-models Apollo's own internal systems and the agents operating on them. REPRESENTATIVE PROJECTS Develop a comprehensive coding agent threat model: Think deeply about all the ways in which coding agents could attack an organization. Compare this threat model to conventional threats from human insiders. Publish a detailed research piece describing the threat model building on existing research, e.g. from Redwood Research. Improve our database of failure modes: We have an internal database of 50+ failure modes of coding agents with detailed reports for all of them. For this project, you would provide an expert view on the current state of that database and suggest improvements. In the long run, you would maintain that database and be responsible for integration of new failures. Prioritize failure modes that Watcher should cover: Different parts of Watcher attempt to cover different threat models and attack strategies. Based on the results of the threat model project above, we want to ensure that each part of Watcher covers the most important failure modes in the most efficient way. For example, not all monitors require blocking capability and some failure modes might benefit from additional affordances like being able to disperse subagents. JOB REQUIREMENTS Must-haves 5+ years in security roles in a hands-on technical capacity (not purely GRC/compliance). You need to be able to think structurally about threat modeling and failure modes. You need to be able to read code, understand infrastructure, and evaluate technical controls, not just write policies. Direct experience with security research, threat modeling, or offensive security. Comfortable working in a small, fast-moving team, and comfortable owning ambiguous, open-ended research questions. Strong written communication this role produces threat models, security levels, and failure mode documentation that need to be clear and precise Nice-to-haves Experience with AI/ML systems security, LLM security, or AI control research. The field is young enough that deep experience here is rare, but any exposure significantly reduces ramp-up time. Detection engineering, SOC, or incident analysis experience. A part of this role is judging whether flagged agent behavior is genuinely malicious, and people who have triaged real-world alerts might ramp much faster. Familiarity with insider threat programs or insider risk frameworks. The mental model of "the coding agent is a potentially malicious insider" is useful for this role and someone who has worked on insider threats will pick it up faster. Red teaming or offensive security background. Useful for the Watcher red-teaming responsibilities and for thinking adversarially about failure modes. Formal AI safety research background. Helpful but not necessary. We need security practitioners who can learn the AI safety context, not AI safety researchers who need to learn security. Explicitly not required Management experience. This is an IC role, at least initially. Specific certifications (CISSP, etc.). We care about demonstrated ability, not credentials. We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Salary: San Francisco : $204,000 – $385,000; London : £136,000 – £258,000. We will be looking to meaningfully raise salaries soon. Flexible work hours and schedule Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable) LOGISTICS Time Allocation : Full-time Location : This is an in-person role working out of our London or San Francisco office. We offer flexible working hours and some wfh arrangements. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route.
Senior Research Scientist, Target Tracking
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Anduril’s Research Scientists excel at developing state-of-the art algorithms and software that solve scientific problems with real-world applications. Working in small innovative teams, our research scientists build solutions that make a difference. Our research endeavors don’t end once we’ve written a journal or conference paper describing our technology; rather, our work is complete when our technology has been deployed in mission-critical systems and our customers within government and industry are successful. As science fiction writer Arthur Clarke wrote, “Any sufficiently advanced technology is indistinguishable from magic.” Therefore, Anduril is seeking talented “magicians” to join in our common struggle of expanding the boundary of what’s possible. WHAT YOU WILL DO: - Contribute to the direction of a talented small team with your expertise and ideas; - Create mathematically principled solutions to some of the world’s most challenging information science problems; - Prototype state-of-the-art algorithms in an agile development environment; - Implement high-performance software spanning the spectrum from tactical systems to web applications; - Use high-fidelity modeling and simulation environments, innovative analysis tools, and flexible compute clusters to quantify the benefit of our technology; - Engage with our customers, to ensure successful outcomes for their mission-critical needs; - Help your colleagues and customers understand what you’re doing and why. REQUIRED QUALIFICATIONS: - A Research Scientist at Anduril should possess an M.S. or Ph.D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Statistics and Probability, or a related field. - Experience coding languages with Rust, C++, and Python. - A Research Scientist should have a record of academic excellence, including demonstrated experience in most of the following areas: - Applied Mathematics: differential equations, linear algebra, numerical analysis, and continuous or discrete optimization; - Engineering: controls, estimation theory, digital signal processing, and machine learning; - Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization; - Probability: statistics and random processes. - A Research Scientist should have effective written and verbal communication skills, with the demonstrated ability to convey salient details about advanced technology in a compelling manner to both experts and non-experts alike. - Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance We request transcripts as part of the early application process to understand your academic background and how your coursework supports the skills deemed critical for the role. Transcripts help us assess your technical and analytical abilities, complementing our interview process in which we also evaluate practical experience and cultural fit. If you choose not to share your transcripts, you will need to provide detailed information regarding your academic performance in relevant courses, including projects and coursework specifics, to ensure we evaluate your academic accomplishments properly. If you do provide academic transcripts, feel free to redact non-technical information (e.g., student ID, dates, non-technical coursework, etc.). Unofficial transcripts obtained online acceptable for this assessment. US Salary Range $190,000 - $252,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Senior Research Scientist, Battlespace Awareness
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Anduril’s Senior Research Scientists excel at developing state-of-the art algorithms and software that solve scientific problems with real-world applications. Working in small innovative teams, our research scientists build solutions that make a difference. Our research endeavors don’t end once we’ve written a journal or conference paper describing our technology; rather, our work is complete when our technology has been deployed in mission-critical systems and our customers within government and industry are successful. As science fiction writer Arthur Clarke wrote, “Any sufficiently advanced technology is indistinguishable from magic.” Therefore, Anduril is seeking talented “magicians” to join in our common struggle of expanding the boundary of what’s possible. WHAT YOU WILL DO : - Contribute to the direction of a talented small team with your expertise and ideas; - Create mathematically principled solutions to some of the world’s most challenging information science problems; - Prototype state-of-the-art algorithms in an agile development environment; - Implement high-performance software spanning the spectrum from tactical systems to web applications; - Use high-fidelity modeling and simulation environments, innovative analysis tools, and flexible compute clusters to quantify the benefit of our technology; - Engage with our customers, to ensure successful outcomes for their mission-critical needs; - Help your colleagues and customers understand what you’re doing and why. REQUIRED QUALIFICATIONS: - A Senior Research Scientist at Anduril should possess an M.S. or Ph.D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Statistics and Probability, or a related field. - A Senior Research Scientist should have a record of academic excellence, including demonstrated experience in most of the following areas: - Applied Mathematics: differential equations, linear algebra, numerical analysis, and continuous or discrete optimization; - Engineering: controls, estimation theory, digital signal processing, and machine learning; - Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization; - Probability: statistics and random processes. - A Senior Research Scientist should have effective written and verbal communication skills, with the demonstrated ability to convey salient details about advanced technology in a compelling manner to both experts and non-experts alike. - Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance We request transcripts as part of the early application process to understand your academic background and how your coursework supports the skills deemed critical for the role. Transcripts help us assess your technical and analytical abilities, complementing our interview process in which we also evaluate practical experience and cultural fit. If you choose not to share your transcripts, you will need to provide detailed information regarding your academic performance in relevant courses, including projects and coursework specifics, to ensure we evaluate your academic accomplishments properly. If you do provide academic transcripts, feel free to redact non-technical information (e.g., student ID, dates, non-technical coursework, etc.). Unofficial transcripts obtained online acceptable for this assessment. US Salary Range $190,000 - $252,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Senior Research Scientist
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Anduril’s Research Scientists excel at developing state-of-the art algorithms and software that solve scientific problems with real-world applications. Working in small innovative teams, our research scientists build solutions that make a difference. Our research endeavors don’t end once we’ve written a journal or conference paper describing our technology; rather, our work is complete when our technology has been deployed in mission-critical systems and our customers within government and industry are successful. As science fiction writer Arthur Clarke wrote, “Any sufficiently advanced technology is indistinguishable from magic.” Therefore, Anduril is seeking talented “magicians” to join in our common struggle of expanding the boundary of what’s possible. WHAT YOU WILL DO : - Contribute to the direction of a talented small team with your expertise and ideas; - Create mathematically principled solutions to some of the world’s most challenging information science problems; - Prototype state-of-the-art algorithms in an agile development environment; - Implement high-performance software spanning the spectrum from tactical systems to web applications; - Use high-fidelity modeling and simulation environments, innovative analysis tools, and flexible compute clusters to quantify the benefit of our technology; - Engage with our customers, to ensure successful outcomes for their mission-critical needs; - Help your colleagues and customers understand what you’re doing and why. REQUIRED QUALIFICATIONS: - A Research Scientist at Anduril should possess an M.S. or Ph.D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Statistics and Probability, or a related field. - A Research Scientist should have a record of academic excellence, including demonstrated experience in most of the following areas: - Applied Mathematics: differential equations, linear algebra, numerical analysis, and continuous or discrete optimization; - Engineering: controls, estimation theory, digital signal processing, and machine learning; - Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization; - Probability: statistics and random processes. - A Research Scientist should have effective written and verbal communication skills, with the demonstrated ability to convey salient details about advanced technology in a compelling manner to both experts and non-experts alike. - Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance US Salary Range $190,000 - $252,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Senior Comms DSP Engineer
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. WHAT YOU’LL DO - Lead cross-functional engineering teams (RF, hardware, and embedded software) in the design, development, and integration of high-performance Software Defined Radios (SDRs); direct DSP engineers in translating physical layer (PHY) communication algorithms into optimized software and FPGA/firmware implementations. - Design and implement advanced wireless communication algorithms and signal processing techniques, including modulation/demodulation (e.g., QAM, OFDM), channel coding (LDPC, Polar), synchronization, equalization, and beamforming for next-generation air interfaces. - Develop high-fidelity Modeling and Simulation (M&S) environments in MATLAB/C++ for wireless channel characterization, link-budget analysis, and end-to-end transceiver performance verification, leveraging Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) testing. - Direct laboratory and over-the-air (OTA) field testing of RF communication systems, conducting real-world characterization of RF front-ends, antennas, propagation effects, and dynamic interference mitigation techniques. - Drive the commercialization and maturation of RF systems from initial proof-of-concept prototype to deployable, production-ready wireless communication products and tactical data links. REQUIRED QUALIFICATIONS - 7+ years with a BSEE or related field - Strong experience with DSP implementation for embedded devices and/or software defined radios. - Strong knowledge of Python and MATLAB. Experience with CUDA or GPU accelerated frameworks like cuSignal is preferred. - Experience with embedded devices, including FPGA, Nvidia Jetson, and Software Defined Radios. - Skilled with Modeling and Simulation of RF systems including Radar and SAR - Familiar with deep learning algorithms. Experience with ML frameworks such as TensorFlow and PyTorch is a plus. - Familiar with wireless communication standards (Bluetooth, 3G/4G/5G, Wi-Fi, SINCGARS, MUOS, etc.). - Excellent at balancing multiple projects at any given time and/or managing a larger team for a larger program. - Enthusiastic about both working with a team and executing some work individually (depending on program scope). - Experience with Electronic Warfare systems. - Some travel required. - Currently possesses and is able to maintain an active U.S. Secret security clearance. PREFERRED QUALIFICATIONS - Masters or PhD degree in Electrical, Electronics, Computer Engineering, or related fields - Defense, national security, or aerospace domain familiarity through industry or education. - Extensive Digital Signal Processing (DSP) knowledge and experience - Expertise in Synthetic Aperture Radar (SAR) and/or Inverse SAR (ISAR): Image formation, waveforms, phenomenology, modeling and simulation US Salary Range $191,000 - $253,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Research Scientist, Battlespace Awareness
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Anduril’s Research Scientists excel at developing state-of-the art algorithms and software that solve scientific problems with real-world applications. Working in small innovative teams, our research scientists build solutions that make a difference. Our research endeavors don’t end once we’ve written a journal or conference paper describing our technology; rather, our work is complete when our technology has been deployed in mission-critical systems and our customers within government and industry are successful. As science fiction writer Arthur Clarke wrote, “Any sufficiently advanced technology is indistinguishable from magic.” Therefore, Anduril is seeking talented “magicians” to join in our common struggle of expanding the boundary of what’s possible. WHAT YOU WILL DO : - Contribute to the direction of a talented small team with your expertise and ideas; - Create mathematically principled solutions to some of the world’s most challenging information science problems; - Prototype state-of-the-art algorithms in an agile development environment; - Implement high-performance software spanning the spectrum from tactical systems to web applications; - Use high-fidelity modeling and simulation environments, innovative analysis tools, and flexible compute clusters to quantify the benefit of our technology; - Engage with our customers, to ensure successful outcomes for their mission-critical needs; - Help your colleagues and customers understand what you’re doing and why. REQUIRED QUALIFICATIONS: - A Research Scientist at Anduril should possess an M.S. or Ph.D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Statistics and Probability, or a related field. - A Research Scientist should have a record of academic excellence, including demonstrated experience in most of the following areas: - Applied Mathematics: differential equations, linear algebra, numerical analysis, and continuous or discrete optimization; - Engineering: controls, estimation theory, digital signal processing, and machine learning; - Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization; - Probability: statistics and random processes. - A Research Scientist should have effective written and verbal communication skills, with the demonstrated ability to convey salient details about advanced technology in a compelling manner to both experts and non-experts alike. - Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance We request transcripts as part of the early application process to understand your academic background and how your coursework supports the skills deemed critical for the role. Transcripts help us assess your technical and analytical abilities, complementing our interview process in which we also evaluate practical experience and cultural fit. If you choose not to share your transcripts, you will need to provide detailed information regarding your academic performance in relevant courses, including projects and coursework specifics, to ensure we evaluate your academic accomplishments properly. If you do provide academic transcripts, feel free to redact non-technical information (e.g., student ID, dates, non-technical coursework, etc.). Unofficial transcripts obtained online acceptable for this assessment. US Salary Range $191,000 - $253,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Research Scientist
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Anduril’s Research Scientists excel at developing state-of-the art algorithms and software that solve scientific problems with real-world applications. Working in small innovative teams, our research scientists build solutions that make a difference. Our research endeavors don’t end once we’ve written a journal or conference paper describing our technology; rather, our work is complete when our technology has been deployed in mission-critical systems and our customers within government and industry are successful. As science fiction writer Arthur Clarke wrote, “Any sufficiently advanced technology is indistinguishable from magic.” Therefore, Anduril is seeking talented “magicians” to join in our common struggle of expanding the boundary of what’s possible. WHAT YOU WILL DO : - Contribute to the direction of a talented small team with your expertise and ideas; - Create mathematically principled solutions to some of the world’s most challenging information science problems; - Prototype state-of-the-art algorithms in an agile development environment; - Implement high-performance software spanning the spectrum from tactical systems to web applications; - Use high-fidelity modeling and simulation environments, innovative analysis tools, and flexible compute clusters to quantify the benefit of our technology; - Engage with our customers, to ensure successful outcomes for their mission-critical needs; - Help your colleagues and customers understand what you’re doing and why. REQUIRED QUALIFICATIONS: - A Research Scientist at Anduril should possess an M.S. or Ph.D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Statistics and Probability, or a related field. - A Research Scientist should have a record of academic excellence, including demonstrated experience in most of the following areas: - Applied Mathematics: differential equations, linear algebra, numerical analysis, and continuous or discrete optimization; - Engineering: controls, estimation theory, digital signal processing, and machine learning; - Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization; - Probability: statistics and random processes. - A Research Scientist should have effective written and verbal communication skills, with the demonstrated ability to convey salient details about advanced technology in a compelling manner to both experts and non-experts alike. - Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance We request transcripts as part of the early application process to understand your academic background and how your coursework supports the skills deemed critical for the role. Transcripts help us assess your technical and analytical abilities, complementing our interview process in which we also evaluate practical experience and cultural fit. If you choose not to share your transcripts, you will need to provide detailed information regarding your academic performance in relevant courses, including projects and coursework specifics, to ensure we evaluate your academic accomplishments properly. If you do provide academic transcripts, feel free to redact non-technical information (e.g., student ID, dates, non-technical coursework, etc.). Unofficial transcripts obtained online acceptable for this assessment. US Salary Range $165,000 - $218,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Power Systems Architect, Expeditionary AI/HPC Data...
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE JOB Anduril Expeditionary Systems (AES) is building AI Factories and Command/Control centers—specialized, high-performance computing centers designed to process petabyte-scale data and convert it into decisions at machine speed from forward operating bases. These are not traditional data centers. They are air-transportable, power-constrained, hardened systems optimized for AI inference at the tactical edge and deeply integrated with Lattice. We are seeking a Power Systems Architect to design and build these tactical AI/HPC data centers from the ground up. This is a new and highest priority role. You will help architect the complete electrical infrastructure—MV/LV power distribution, transformer selection, switchgear, UPS system, and rack level power delivery infrastructure—that enables AI processing in austere, contested, and DDIL (degraded/denied/intermittent/limited) environments. This capability does not exist today as a fielded system. You will define what this category looks like and build systems that will be deployed in some of the most challenging environments on earth. Exact candidate title and leveling to be determined based upon technical acumen, professional experience, leadership ability, and assessed capabilities through the interview process. WHAT YOU'LL DO - Power Distribution and Infrastructure design: Lead end-to-end electrical power design for AI/HPC data centers, including medium-voltage (MV) distribution, substations, switchgear, UPS systems, BESS, PDUs, busways, and rack-level power delivery for high-density GPU racks. - Power High-Density Compute: Engineer power infrastructure specifically for NVIDIA GPU clusters (H100, GB200, etc.), including coordination with liquid cooling systems, CDUs, and evolving rack power densities. - Plan Power Topology: Design and specify utility interconnects, generator plants, ATS, paralleling switchgear, transformers, and backup power topologies (2N, N+1, distributed redundant) to meet Tier III/IV and Uptime Institute standards. - Load Analysis & Modeling: Perform short-circuit, arc flash, load flow, and coordination studies using SKM, ETAP, or EasyPower. Develop single-line diagrams, panel schedules, and detailed construction documents. - Architect power systems supporting utility-scale requirements in expeditionary environments—integrating generators, energy storage, intelligent distribution, and load management. MW+ scale distribution. - Cross-Functional Collaboration: Partner with mechanical, controls, network, and hardware engineering teams to align electrical design with cooling, structural, and compute deployment plans. - Architect a microgrid for 1MW to 10MW data center installations in environments where grid power is not always guaranteed so large scale generator or battery backup systems are necessary to maintain uptime. - Design high voltage power systems that meet safety standards and requirements to be deployed in the field. - Design air-transportable, modular systems (containerized, palletized, vehicle-mounted) that are rapidly deployable and operationally credible - Build infrastructure optimized for austere and contested environments—extreme temperatures, limited grid power, SCIF-accreditable, electromagnetic hardening - Partner with defense customers to translate operational requirements and needs into technical architectures REQUIRED QUALIFICATIONS - Bachelor's degree in Electrical Engineering, or related technical field - 5+ years of experience designing and deploying grid scale MV/LV infrastructure - Experience with 15kV–35kV MV systems and multi-MW power delivery - Experienced in MV/LV distribution, transformers, switchgear, switchboards, generators, UPS systems, batteries, PDUs, RPPs, busway, PSUs, grounding, bonding, and protection systems. - Proven track record building and deploying production infrastructure from concept through operational scale - Systems thinking ability to optimize across competing constraints (performance, power, thermal, weight, cost, reliability) - U.S. Person status required (U.S. citizen, permanent resident, refugee, or asylee) - Ability to obtain and maintain a U.S. security clearance (U.S. citizenship may be required) - Must be able to travel up to 15% of the time PREFERRED QUALIFICATIONS - Professional Engineer (PE) license - Experience designing hyperscale or AI data centers - Deep knowledge of MIL-STD-3071, NEC, IEEE, NFPA 70E, and Uptime Institute standards - Advanced degree (MS/PhD) in relevant engineering discipline - Holds Active Secret Clearance or higher - Experience with tactical military systems, ruggedized computing, or deployable infrastructure in austere or contested environments - Knowledge of military environmental standards (MIL-STD-810, MIL-STD-461) and expeditionary deployability requirements - Experience with modular power systems, rack-level conversion, BESS, HVDC/LVDC, or other advanced power architectures. - Strong understanding of codes, standards, utility coordination, safety requirements, and AHJ processes. - Hands-on experience with containerized or modular data center designs (ISO containers, mobile facilities) - Experience with expeditionary or forward operating base (FOB) power infrastructure US Salary Range $146,000 - $170,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Manager, Test & Evaluation Engineer
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. This position is looking for a highly motivated test engineer with emphasis in developmental and operational test of Anduril’s suite of software and hardware systems. You will work heavily with cross-functional engineering and program stakeholders to support and/or lead a team focused on solving hard problems and changing the industry forever. The role will be responsible for planning, coordination, execution and reporting on all facets of the test program. The Test and Evaluation Team at Anduril works across the entire spectrum of products and business lines and test range management. Our team conducts full system level development testing, new production acceptance testing, sub-component qualification testing and much more. In short, if it involves test, we support it. If you are interested in working in an extremely innovative and fast paced environment, where your work directly makes an impact and difference in the products that are fielded this a fantastic opportunity. Overview Anduril is seeking a driven Manager for the Test & Evaluation Team withing our Edge Command and Compute business line. You will be responsibility for leading, mentoring, and upleveling the measurable performance of a very technical team of test engineers - each managing the full test lifecycle across their product lines (both software-enabled hardware and software systems). In this role, You will lead test planning, execution, and reporting for developmental and operational test events, ensuring system-level performance is validated in both laboratory and field environments. You’ll collaborate closely with engineering, program management, and government stakeholders to deliver rigorously tested systems that meet the demands of the modern battlespace. This is an opportunity to shape test strategy for one of Anduril’s most critical Divisions, lead high-performing teams, and directly influence the success of deployed warfighter capabilities. What you’ll do - In this role, you will lead the test planning and execution for the Menace Family of Products, Titan, and other Connected Warfare products, effectively managing both software and hardware test environments. The team of test engineers will look to You to provide them essential technical leadership, guidance, and oversight during test campaigns. - Your responsibilities will include developing, executing, and reporting throughout system integration tests, developmental tests, operational assessments, and customer acceptance events. - You will define and manage verification strategies that encompass requirements-based, scenario-based, and operationally relevant test methods, including the incorporation of customer required standards and metrics. - You will coordinate cross-functional test activities in collaboration with Program Management, Engineering, and external test ranges and agencies. Oversight of Test Readiness Reviews (TRRs), guiding Safety Review Boards, management of test incidents, and tracking deficiencies will be crucial. - You are responsible to ensure that all issues and deviations from performance specifications or system requirements are documented, prioritized, and communicated to the engineering teams in a timely manner. Establishing measurable test coverage metrics will be part of your team’s responsibilities while you ensure traceability from requirements through verification and validation results. - Your team will perform and supervise data analysis related to system performance during lab and operational test environments. They will deliver test measurements, mission outcomes, and place place a strong emphasis on actionable findings. - As the Test Manager, you will represent the program at customer reviews, readiness boards, and milestone decision points, ensuring that test campaigns are executed safely and in a disciplined manner, whether in lab settings or austere field environments. Required Qualifications - Bachelor’s degree in Systems Engineering, Electrical Engineering, Computer Engineering, or a related technical discipline (advanced degree preferred). Equivalent relevant experience may substitute. - 5-8 years of experience in system-level test and evaluation of integrated hardware/software systems, with at least 3-5+ years in a technical leadership or test lead capacity. - Proven experience leading test teams (≥ 5 engineers/technicians) and managing complex multi-site test campaigns. - Hands-on experience executing developmental and operational test events in both lab and field environments. - Strong background in requirements development, test planning, verification/validation, and test reporting, including traceability management. - Experience with RF communications, tactical datalinks, and networked C2 systems in at least one DoD operational environment. - Demonstrated familiarity with industry and DoD test processes, including MIL-STD test protocols and government verification practices. - Skilled in test metrics definition and reporting (e.g., test coverage %, requirements verification %, defect closure rates). - Strong leadership, communication, and presentation skills with ability to brief at senior levels (internal and external). - Ability to travel periodically up to 50% for test execution at ranges and field sites. - Ability to immediately obtain and maintain a U.S. Secret security clearance. - In this role, you will be subject to pre-employment and randomized substance screening, as required by the Company. Preferred Qualifications - Master’s degree in Systems Engineering or related technical field. - Previous experience as Test Lead on a DoD ACAT I/II program or equivalent. - Knowledge of EMI/EMC, MIL-STD-810 environmental testing, and MIL-STD-1275/1553/1760 standards.. - Familiarity with Artificial Intelligence implementation to test workflows, test automation frameworks, data analysis tools, and test instrumentation. - Hands-on experience with CI/CD pipelines, software integration, and hardware-in-the-loop test environments. - Prior experience conducting test activities in remote, austere, or tactical operational settings. - Eligible for Top Secret/SCI clearance. US Salary Range $146,000 - $194,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Machine Vision Engineer, Manufacturing Automation
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Anduril’s Manufacturing Automation team is seeking a Machine Vision Engineer to join our team on 2 nd Shift. The Manufacturing Automation team is responsible for the design, integration, and deployment of automated manufacturing systems across Anduril factories. As a member of this team, you will have the opportunity to help define what production automation looks like for Anduril at a national scale. WHAT YOU’LL DO - System Development: Assist in the design and implementation of machine vision systems for industrial automation, quality inspection, defect detection, and process monitoring. - Hardware Setup: Help select, test, validate, and maintain core vision components including cameras, lenses, lighting, and controllers. - Deployment & Support: Participate in the installation, testing, and commissioning of vision systems on production lines under the guidance of senior engineers. - Cross-Functional Collaboration: Collaborate with cross-functional teams to integrate inspection systems and receive technical mentorship from senior engineering staff. - Troubleshooting: Help investigate and resolve vision system errors and process failures using root-cause analysis methods. - Training Assistance: Assist in training production staff on daily operation, basic troubleshooting, and maintenance of vision equipment. REQUIRED QUALIFICATIONS - Education: Bachelor’s degree in Electrical Engineering, Computer Science, Physics, Robotics, or a related discipline. - Experience: 2+ years of hands-on experience or academic project work involving machine vision systems or manufacturing environments. - Vision Platforms: Exposure to or basic familiarity with industrial hardware ecosystems like Cognex, Keyence, Basler, or Sick. - Programming: Foundational coding skills in Python, C#, or C++. - Optics Basics: Basic understanding of camera selection, lens optics, lighting techniques, and sensor calibration. - Automation Exposure: Basic knowledge of how vision systems interface with industrial controls like PLCs and robotics. PREFERRED QUALIFICATIONS - Libraries & Frameworks: Academic or internship experience with core vision software like OpenCV, PyTorch, or TensorFlow. - Software Practices: Familiarity with modern development workflows, including Git version control. - 3D Vision: Exposure to 3D imaging techniques like structured light or stereo vision. - Smart Manufacturing: Familiarity with factory automation software or IIoT protocols. - Security Clearance: Possession of an active Secret or Top-Secret security clearance. US Salary Range $115,000 - $171,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Machine Vision Engineer 2nd Shift, Manufacturing A...
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Anduril’s Manufacturing Automation team is seeking a Machine Vision Engineer to join our team. The Manufacturing Automation team is responsible for the design, integration, and deployment of automated manufacturing systems across Anduril factories. As a member of this team, you will have the opportunity to help define what production automation looks like for Anduril at a national scale. WHAT YOU’LL DO - System Development: Assist in the design and implementation of machine vision systems for industrial automation, quality inspection, defect detection, and process monitoring. - Hardware Setup: Help select, test, validate, and maintain core vision components including cameras, lenses, lighting, and controllers. - Deployment & Support: Participate in the installation, testing, and commissioning of vision systems on production lines under the guidance of senior engineers. - Cross-Functional Collaboration: Collaborate with cross-functional teams to integrate inspection systems and receive technical mentorship from senior engineering staff. - Troubleshooting: Help investigate and resolve vision system errors and process failures using root-cause analysis methods. - Training Assistance: Assist in training production staff on daily operation, basic troubleshooting, and maintenance of vision equipment. REQUIRED QUALIFICATIONS - Education: Bachelor’s degree in Electrical Engineering, Computer Science, Physics, Robotics, or a related discipline. - Experience: 2+ years of hands-on experience or academic project work involving machine vision systems or manufacturing environments. - Vision Platforms: Exposure to or basic familiarity with industrial hardware ecosystems like Cognex, Keyence, Basler, or Sick. - Programming: Foundational coding skills in Python, C#, or C++. - Optics Basics: Basic understanding of camera selection, lens optics, lighting techniques, and sensor calibration. - Automation Exposure: Basic knowledge of how vision systems interface with industrial controls like PLCs and robotics. PREFERRED QUALIFICATIONS - Libraries & Frameworks: Academic or internship experience with core vision software like OpenCV, PyTorch, or TensorFlow. - Software Practices: Familiarity with modern development workflows, including Git version control. - 3D Vision: Exposure to 3D imaging techniques like structured light or stereo vision. - Smart Manufacturing: Familiarity with factory automation software or IIoT protocols. - Security Clearance: Possession of an active Secret or Top-Secret security clearance. US Salary Range $115,000 - $171,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Lead Electrical Architect - Expeditionary AI/HPC D...
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE JOB Anduril Expeditionary Systems (AES) is building AI Factories and Command/Control centers—specialized, high-performance computing centers designed to process petabyte-scale data and convert it into decisions at machine speed from forward operating bases. These are not traditional data centers. They are air-transportable, power-constrained, hardened systems optimized for AI inference at the tactical edge and deeply integrated with Lattice. We are seeking highly experienced Lead Electrical Architects to play a pivotal role in defining and shaping the electrical architecture for our product lines. These roles will bridge the critical gap between high-level systems concepts and detailed electrical design, ensuring robust, scalable, and manufacturable solutions for our advanced defense systems. You will be instrumental in translating strategic Concepts of Operations (CONOPS) into actionable electrical requirements and architecture that will guide the entire product development lifecycle. Exact candidate title and leveling to be determined based upon technical acumen, professional experience, leadership ability, and assessed capabilities through the interview process. WHAT YOU'LL DO - Own the end-to-end architecture of AI Factory tactical data centers and deployable command and control centers - Conduct architectural trades, balancing performance, manufacturing feasibility, and future scalability. - Bridge the gap between traditional Systems Engineering and Electrical Engineering by translating high-level CONOPS into detailed electrical requirements, architectures and functional modules. - Design air-transportable, modular systems (containerized, palletized, vehicle-mounted) that are rapidly deployable and operationally credible - Build infrastructure optimized for austere and contested environments—extreme temperatures, limited grid power, SCIF-accreditable, electromagnetic hardening - Work in tight coupling with Lattice and AI/ML teams to ensure physical infrastructure meets mission-critical software requirements - Partner with defense customers to translate operational requirements and needs into technical architectures - Lead prototyping, field testing, and operational validation through military exercises and real-world deployments - Drive systems from concept through production at scale, working across hardware, software, supply chain, and program teams - Allocate functions to specific electrical modules and subsystems, defining constraints, interfaces, and communications protocols. - Flow module and subsystem information to PCB design and harnessing teams to guide designs in line with the overarching electrical architecture. REQUIRED QUALIFICATIONS - Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related technical field - 5+ years of engineering experience designing and deploying electrical products - Proven ability to think strategically and define the long-term architectural vision for a product line - Familiarity with embedded systems hardware, including MCUs, CPUs, and FPGAs, and their architectural implications - Experience with full-cycle ECU/LRU electronics design, including PCBA design through the entire lifecycle - Experience with harnessing design and connector selection - Successful track record of releasing products to production and delivering to end-users at scale - Excellent communication, collaboration, and influencing skills to work across diverse engineering disciplines. - Experience leading cross functional teams on complex electronics projects - U.S. Person status required (U.S. citizen, permanent resident, refugee, or asylee) - Ability to obtain and maintain a U.S. security clearance (U.S. citizenship may be required) - Must be able to travel up to 15% of the time DESIRED QUALIFICATIONS - Background in 3-phase power distribution, MV/LV grid scale power distribution, or EV/HV battery systems - Has been through at least three full electrical product design cycles from conception to production release - 8+ years of engineering experience designing and deploying electrical products - Experience with tactical military systems, ruggedized computing, or deployable infrastructure in austere or contested environments - Knowledge of military environmental standards (MIL-STD-810, MIL-STD-461) and expeditionary deployability requirements - Hands-on experience with containerized or modular data center designs (ISO containers, mobile facilities) - Experience with expeditionary or forward operating base (FOB) infrastructure - Knowledge of electromagnetic hardening and operation in GPS-denied or communications-contested environments - Experience with SCIF design or accreditation for classified environments - Background in aerospace, defense, autonomous vehicles, EVs, or safety-critical industries with rigorous qualification requirements - Advanced degree (MS/PhD) in relevant engineering discipline - Holds Active Secret Clearance or higher US Salary Range $146,000 - $183,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Director, Test & Evaluation - Robotics
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. About the Role The Director of Test & Evaluation – Robotics will provide executive and technical leadership across Anduril’s Test Operations, Test Engineering, and Test Automation teams. In this role, you will lead end to end test and evaluation across multi-domain unmanned hardware, driving the integration and validation of Lattice Command & Control (C2) and Collaborative Autonomy (CA) capabilities. You will accelerate engineering development by scaling automated SIL/HIL frameworks and high-tempo field testing. The ideal candidate brings extensive multi-domain testing experience, deep software/hardware integration understanding, and a proven track record of building safety critical test organizations that accelerate mission ready deployments. What You’ll Do - Lead both the Flight Test Team and Test Engineering Team, providing technical guidance and mentorship - Establish and refine flight test methodologies for evaluating mission autonomy capabilities using surrogate vehicles in fast-paced test environments - Develop long-term capacity planning for flight test capabilities to support future product initiatives and company growth - Drive the verification and validation (V&V) of Lattice C2 and Collaborative Autonomy behaviors - Architect and scale automated SIL, HIL, and regression test pipelines, ensuring software changes are thoroughly vetted before deploying to physical hardware in the field. - Oversee live test execution, test infrastructure, range safety protocols, instrumentation, and real-time telemetry pipelines across test ranges. - Drive cross-functional collaboration with Product, Engineering, and Program Management to align test strategies with product development roadmaps - Cultivate a strong organizational foundation focused on safety standards, regulatory adherence, and performance - Ensure compliance with FAA, FCC, and other regulatory requirements throughout all flight test operations - Manage resource allocation, budgeting, and scheduling for flight test campaigns across multiple programs - Create and implement standardized processes, metrics, and KPIs to measure test effectiveness and drive continuous improvement Required Qualifications - Bachelor's degree in engineering, computer science, robotics, or related technical field - 10+ years of experience in testing unmanned aerial systems with at least 5 years in a leadership position - Proven expertise in both software and hardware integration for complex autonomous systems - Demonstrated success leading flight test operations as a Test Director for mission-critical platforms - Strong understanding of aviation regulations and compliance requirements for unmanned systems - Experience managing technical teams with diverse skill sets across operations and engineering - Exceptional problem-solving abilities for troubleshooting complex hardware and software issues - Outstanding communication skills for conveying technical concepts to stakeholders at all levels - Flexibility to adapt to dynamic schedules and willingness to travel to test sites as required - Current FAA Part 107 certification or ability to obtain one - In this role, you will be subject to pre-employment and randomized substance screening, as required by the Company. Preferred Qualifications - Advanced degree in a relevant technical or management field - Direct experience with multi-agent collaborative autonomy, swarming architectures, or distributed Command & Control (C2) systems. - Proficiency with modern software tools (Python, C++, Linux, CI/CD pipelines, Git) for automated data parsing and telemetry analytics. - Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance US Salary Range $220,000 - $292,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Compute Systems Architect - Expeditionary AI/HPC D...
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE JOB Anduril Expeditionary Systems (AES) is building AI Factories and Command/Control centers—specialized, high-performance computing centers designed to process petabyte-scale data and convert it into decisions at machine speed from forward operating bases. These are not traditional data centers. They are air-transportable, power-constrained, hardened systems optimized for AI inference at the tactical edge and deeply integrated with Lattice. We are seeking a High Performance Compute Systems Architect to design and build these tactical AI/HPC data centers from the ground up. This is a new and highest priority role. You will architect the complete electrical infrastructure—compute node selection, power distribution, thermal management, battery backup system, and physical hardening—that enables AI processing in austere, contested, and DDIL (degraded/denied/intermittent/limited) environments. This capability does not exist today as a fielded system. You will define what this category looks like and build systems that will be deployed in some of the most challenging environments on earth. Exact candidate title and leveling to be determined based upon technical acumen, professional experience, leadership ability, and assessed capabilities through the interview process. WHAT YOU'LL DO - Own the end-to-end architecture of AI Factory tactical data centers from compute hardware through power architecture, networking, and thermal cooling systems - Design GPU-accelerated compute clusters optimized for AI inference and training workloads at the tactical edge (NVIDIA H100/A100, AMD MI300, or similar) - Engineer advanced thermal solutions for high-density compute without traditional data center infrastructure (liquid cooling, immersion cooling, hybrid systems) - Design air-transportable, modular systems (containerized, palletized, vehicle-mounted) that are rapidly deployable and operationally credible - Build infrastructure optimized for austere and contested environments—extreme temperatures, limited grid power, SCIF-accreditable, electromagnetic hardening - Work in tight coupling with Lattice and AI/ML teams to ensure physical infrastructure meets mission-critical software requirements - Partner with defense customers to translate operational requirements and needs into technical architectures - Lead prototyping, field testing, and operational validation through military exercises and real-world deployments - Drive systems from concept through production at scale, working across hardware, software, supply chain, and program teams - Define standards and best practices for tactical AI compute infrastructure across AES product lines REQUIRED QUALIFICATIONS - Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related technical field - 5+ years of experience designing and deploying data center infrastructure, HPC clusters, large-scale compute systems, or tensor / accelerator compute nodes. - 8+ years of engineering experience designing and deploying electrical products - Deep expertise in GPU-accelerated computing architecture for AI/ML workloads (NVIDIA, AMD, or similar platforms) - Strong understanding of power distribution systems for high-density compute including PDUs, power shelves, UPS systems, generators, chillers, power distribution, and energy management - Experience with thermal management for high-power-density systems—liquid cooling and chiller systems. - Proven track record building and deploying production infrastructure from concept through operational scale - Systems thinking ability to optimize across competing constraints (performance, power, thermal, weight, cost, reliability) - U.S. Person status required (U.S. citizen, permanent resident, refugee, or asylee) - Ability to obtain and maintain a U.S. security clearance (U.S. citizenship may be required) - Must be able to travel up to 15% of the time PREFERRED QUALIFICATIONS - Background in AI/ML infrastructure supporting large-scale inference, computer vision, or autonomous systems - Experienced with high speed compute infrastructure networking and network topologies - Familiarity with edge computing architectures, distributed inference systems, or autonomous vehicles - Background in 3-phase power distribution or HV battery systems - Experience with tactical military systems, ruggedized computing, or deployable infrastructure in austere or contested environments - Knowledge of military environmental standards (MIL-STD-810, MIL-STD-461) and expeditionary deployability requirements - Hands-on experience with containerized or modular data center designs (ISO containers, mobile facilities) - Experience with expeditionary or forward operating base (FOB) infrastructure - Knowledge of electromagnetic hardening and operation in GPS-denied or communications-contested environments - Experience with SCIF design or accreditation for classified environments - Background in aerospace, defense, autonomous vehicles, EVs, or safety-critical industries with rigorous qualification requirements - Advanced degree (MS/PhD) in relevant engineering discipline - Holds Active Secret Clearance or higher US Salary Range $146,000 - $222,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
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