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Staff Kernel Optimzation 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. About The Role As a Kernel Engineer on our team, you will develop high-performance software solutions at the intersection of hardware and software, developing high-performance software for cutting-edge AI and HPC workloads. Your focus will be on implementing, optimizing, and scaling deep learning operations to fully leverage our custom, massively parallel processor architecture. You will be part of a world-class team responsible for the design, performance tuning, and validation of foundational ML and HPC kernels. This includes building a library of parallel and distributed algorithms that maximize compute utilization and push the boundaries of training efficiency for state-of-the-art AI models. Your work will be critical to unlocking the full potential of our hardware and accelerating the pace of AI innovation. Responsibilities - Develop design specifications for new machine learning and linear algebra kernels and mapping to the Cerebras WSE System using various parallel programming algorithms. - Develop and debug kernel library of highly optimized low level assembly instruction and C-like domain specific language routines to implement algorithms targeting the Cerebras hardware system. - Develop and debug high-performance kernel routines in low-level assembly and a custom C-like (CSL) language, implementing algorithms optimized for the Cerebras hardware system. - Using mathematical models and analysis to measure the software performance and inform design decisions. - Develop and integrate unit and system testing methodologies to verify correct functionality and performance of kernel libraries. - Study emerging trends in Machine Learning applications and help evolve Kernel library architecture to address computational challenges of the start-of-the-art Neural Networks. - Interact with chip and system architects to optimize instruction sets, microarchitecture, and IO of next generation systems. Skills And Qualifications - Bachelor’s, Master’s, PhD or foreign equivalents in Computer Science, Computer Engineering, Mathematics, or related fields. - Understanding of hardware architecture concepts — must be comfortable learning the details of a new hardware architecture. - Skilled in C++ and Python programming languages. - Good knowledge of library and/or API development best practices. - Strong debugging skills and knowledge of debugging complex software stack. Preferred Skills And Qualifications - Experience in kernel development and/or testing. - Familiarity with parallel algorithms and distributed memory systems. - Experience in programming accelerators such as GPUs and FPGAs. - Familiarity with Machine Learning neural networks and frameworks such as TensorFlow and PyTorch. - Familiarity with HPC kernels and their optimization. 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 SRE - AI Inference
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 are building a high-performance SRE function to support one of the world’s fastest-growing AI inference services, powered by the Wafer-Scale Engine (WSE). This team will help deliver world-class, ultra-reliable inference infrastructure for leading model builders such as OpenAI and other frontier labs. As a Principal SRE, you will define and drive the technical architecture for scaling our inference fleet through self-service delivery, shared observability, capacity orchestration, rollout safety, and operational automation. This role starts with 2–3 weeks of hands-on operational immersion to build deep context on the current stack, production pain points, and high-stakes workflows. From there, your mandate shifts to architecting the “tomorrow” layer: a unified capacity management and production control plane that enables reliable capacity planning, workload placement, rollout safety, validation, and operational decision-making across large-scale inference infrastructure. Success in the first year means core engineering teams, product managers, external customers, and cluster stakeholders can execute critical operational workflows through self-service systems with strong guardrails, clear ownership, and minimal dependency on expert SRE operators. You will collaborate with the tech leads and the leadership team across core, cluster, cloud, and product stakeholders. This work will shift reliability from an ops-only burden to a shared engineering discipline that underpins frontier AI inference at scale. If you are a proven Principal engineer who enjoys turning complexity into elegant reliability at scale, this is your chance to lead this transformation from the front. This role does not require 24/7 on-call rotations. Key Responsibilities - Define and implement a robust strategy for delivering and running software reliably and at scale across multiple datacenters and cloud-based solutions. - Architect self-service platforms and internal tooling that let product teams, external customers, and cluster operators safely trigger and observe critical workflows with minimal handoffs. - Define and evolve reliability practices for inference workloads, including SLOs and SLIs for latency, throughput, and accuracy stability; error budgets; blameless postmortems; chaos testing; and capacity forecasting across multi-datacenter and on-prem environments. - Mentor senior SREs, support critical incident escalations, and use production pain points to prioritize the highest-leverage automation work. - Measure and drive impact through clear metrics, including toil reduction, deployment velocity, SLO compliance, MTTR, and adoption of self-service workflows. Required Experience & Skills - 15+ years in SRE, infrastructure engineering, or platform engineering, with a record of setting technical direction and delivering reliability improvements at large scale in FAANG, hyperscaler, frontier AI, or similarly demanding production environments. - Deep experience with large-scale compute fleets, internal control planes, schedulers, orchestration systems, capacity management, and reliability automation. - Experience defining and driving cross-team architecture for production control planes, capacity orchestration, fleet management, or self-service infrastructure platforms with clear operational ownership. - Strong judgment in converging fragmented workflows, tools, and teams into coherent architectures that improve reliability, efficiency, and operational leverage. - Ability to lead complex, ambiguous technical programs end to end; influence senior cross-functional stakeholders; mentor senior engineers; and communicate technical strategy clearly. - Hands-on experience with production observability, incident response, and SLO-based reliability management across metrics, logs, traces, alerting, dashboards, and operational review loops. Nice-to-Haves - Experience with Bazel or other large-scale build systems in production. - Background in AI/ML inference systems, including model serving runtimes, disaggregated inference, GPU orchestration, latency and accuracy SLOs, or drift monitoring. - Prior work on predictive autoscaling, chaos engineering, or cost-aware capacity management for compute-intensive workloads. Location - SF Bay Area - 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 AI Security 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. ABOUT THE ROLE Cerebras is seeking a Principal AI Security Engineer to lead hands-on security engineering for enterprise IT, infrastructure, AI platforms, and agentic systems. In this role, you will design and build security controls for systems that support training, inference, model serving, customer workloads, internal automation, and AI-assisted development. You will work across product, cloud, infrastructure, identity, runtime, data, and developer platforms to protect sensitive data, enterprise and customer environments, models, tools, agents, and control planes. This is a principal IC role for someone who can turn ambiguous AI and platform security risks into practical architecture, reusable controls, and production-ready systems that teams can adopt by default. RESPONSIBILITIES - Define security architecture and build controls for AI platforms, training and inference workflows, model-serving systems, customer workloads, developer workflows, and agentic - Develop reusable AI and agent security patterns for identity, authorization, delegated authority, scoped tool access, MCPs, connectors, secrets, approvals, isolation, auditability, and - Design runtime controls that constrain execution, access, data exposure, model and tool interaction, and blast radius. - Build security capabilities as code using infrastructure as code, configuration as code, policy as code, GitOps, CI/CD, and automated validation. - Define secure development patterns for AI systems, agents, prompts, tools, models, policies, evaluations, releases, and rollback. - Automate security reviews, policy checks, evidence collection, control validation, and remediation - Instrument AI, agent, and platform activity with telemetry, traceability, policy decisions, audit logs, anomaly signals, and response workflows. - Lead hands-on security reviews and influence product, platform, infrastructure, and security architecture through practical design changes and reusable controls. SKILLS AND QUALIFICATIONS - 10+ years of experience in security engineering, platform security, infrastructure security, product security, or related technical security roles. - Strong hands-on engineering ability in Python and at least one additional production - Experience designing, building, operating, and improving security controls as - Strong cloud and infrastructure security experience, preferably with AWS, including IAM, networking, secrets management, logging, and cloud-native control planes. - Deep understanding of identity and access systems, including SSO, MFA, OAuth, service accounts, workload identity, authorization, privileged access, and least privilege. - Practical experience securing runtime environments such as containers, Kubernetes, isolated workloads, secure development environments, distributed compute platforms, or production service infrastructure. - Familiarity with AI security, LLM application security, agentic workflows, MCPs, prompt injection, autonomous coding agents, or AI platform security. - Ability to reason about cross-system risk involving identity, data, models, tools, networks, workflows, approvals, and automation. - Strong written communication skills and the ability to influence senior technical stakeholders across Security, Product, IT, Infrastructure, and Engineering. RELEVANT EXPERIENCE We do not expect every candidate to have worked across all of these areas, but we value depth in several: - AI, ML, training, inference, model-serving, or large-scale compute - Coding agents, agent platforms, MCP servers, internal developer platforms, or AI-assisted development environments. - Workload identity, secrets brokers, token brokers, short-lived credentials, privileged access, or zero-standing-privilege architectures. - Policy-as-code, authorization services, runtime enforcement layers, or security control - Software delivery security, including source control, CI/CD, build systems, artifacts, provenance, signing, and release gates. - Detection, investigation, and response workflows for cloud, infrastructure, identity, AI, or agent WHAT SUCCESS LOOKS LIKE Success in this role means shaping how Cerebras secures the systems behind AI training, inference, model serving, customer workloads, and agentic automation. You will turn emerging AI and agent risks into reusable security architecture, safer identity and authorization models, scoped tool access, runtime containment, secure software delivery paths, automated policy validation, high-signal telemetry, and controls that engineering teams can adopt by default. 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 Systems Performance 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. ABOUT THE ROLE Engineers on the inference performance team operate at the intersection of hardware and software, driving end-to-end model inference speed and throughput. Their work spans low-level kernel performance debugging and optimization, system-level performance analysis, performance modeling and estimation, and the development of tooling for performance projection and diagnostics. RESPONSIBILITIES - Build performance models (kernel-level, end-to-end) to estimate the performance of state of the art and customer ML models. - Optimize and debug our kernel micro code and compiler algorithms to elevate ML model inference speed, throughput and compute utilization on the Cerebras WSE. - Debug and understand runtime performance on the system and cluster. - Develop tools and infrastructure to help visualize performance data collected from the Wafer Scale Engine and our compute cluster. REQUIREMENTS - Bachelors / Masters / PhD in Electrical Engineering or Computer Science. - Strong background in computer architecture. - Exposure to and understanding of low-level deep learning / LLM math. - Strong analytical and problem-solving mindset. - 3+ years of experience in a relevant domain (Computer Architecture, CPU/GPU Performance, Kernel Optimization, HPC). - Experience working on CPU/GPU simulators. - Exposure to performance profiling and debug on any system pipeline. - Comfort with C++ and Python. 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.
Manager kernel software
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 As a Kernel Engineer on our team, you will develop high-performance software solutions at the intersection of hardware and software, developing high-performance software for cutting-edge AI and HPC workloads. Your focus will be on implementing, optimizing, and scaling deep learning operations to fully leverage our custom, massively parallel processor architecture. You will be part of a world-class team responsible for the design, performance tuning, and validation of foundational ML and HPC kernels. This includes building a library of parallel and distributed algorithms that maximize compute utilization and push the boundaries of training efficiency for state-of-the-art AI models. Your work will be critical to unlocking the full potential of our hardware and accelerating the pace of AI innovation. Responsibilities - Develop design specifications for new machine learning and linear algebra kernels and mapping to the Cerebras WSE System using various parallel programming algorithms. - Develop and debug kernel library of highly optimized low level assembly instruction and C-like domain specific language routines to implement algorithms targeting the Cerebras hardware system. - Develop and debug high-performance kernel routines in low-level assembly and a custom C-like (CSL) language, implementing algorithms optimized for the Cerebras hardware system. - Using mathematical models and analysis to measure the software performance and inform design decisions. - Develop and integrate unit and system testing methodologies to verify correct functionality and performance of kernel libraries. - Study emerging trends in Machine Learning applications and help evolve Kernel library architecture to address computational challenges of the start-of-the-art Neural Networks. - Interact with chip and system architects to optimize instruction sets, microarchitecture, and IO of next generation systems. Skills & Qualifications - Bachelor’s, Master’s, PhD, or foreign equivalent in Computer Science, Computer Engineering, Mathematics, or a related field. - Proven experience leading technical teams, including mentoring engineers, setting technical direction, and driving execution. - Strong understanding of hardware architecture concepts and willingness to dive into new system architectures. - Proficiency in C++ and Python; experience with low-level systems programming. - Familiarity with library/API development best practices and performance optimization. - Excellent debugging skills across complex, layered software stacks. Preferred Skills & Qualifications - Experience leading teams in kernel development, performance optimization, or low-level systems programming. - Strong background in parallel algorithms and distributed memory systems. - Hands-on experience with accelerators such as GPUs, FPGAs, or other custom hardware. - Familiarity with machine learning workloads and frameworks like TensorFlow and PyTorch. - Understanding of HPC kernels and strategies for optimizing them on modern architectures. 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.
Kernel Engineer - New Grad
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 As a Kernel Engineer at Cerebras, you will develop high-performance software at the intersection of hardware and software for cutting-edge artificial intelligence and high-performance computing workloads. You will help implement, optimize, and validate machine learning and linear algebra operations for the Cerebras Wafer-Scale Engine, our custom massively parallel processor architecture. Working alongside experienced kernel, compiler, performance, and hardware engineers, you will learn how algorithms are mapped to specialized hardware and contribute to software that maximizes compute utilization and system performance. You will be part of a team responsible for the design, development, performance tuning, and validation of foundational ML and HPC kernels. This is an excellent opportunity for a new graduate who is interested in computer architecture, parallel programming, low-level software, and machine learning systems. RESPONSIBILITIES - Help design and implement machine learning and linear algebra kernels for the Cerebras Wafer-Scale Engine. - Develop and debug high-performance kernel routines using low-level programming techniques and the Cerebras Software Language, a custom C-like language. - Apply parallel programming algorithms to map computational workloads efficiently onto the Cerebras architecture. - Use mathematical analysis, performance data, and profiling tools to evaluate kernel behavior and inform design decisions. - Identify and investigate correctness, performance, and hardware utilization issues. - Develop unit tests and system-level validation methodologies to verify the functionality and performance of kernel libraries. - Collaborate with kernel, compiler, performance, and hardware engineers to improve software and system performance. - Study emerging machine learning workloads and contribute to the evolution of the kernel library. - Participate in code reviews, technical discussions, and software development processes. - Build an understanding of the Cerebras architecture, instruction set, memory system, and communication model. MINIMUM SKILLS & QUALIFICATIONS - Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field. - Strong programming fundamentals in C++ and familiarity with Python. - Understanding of foundational computer architecture concepts such as processors, memory hierarchies, instruction execution, or data movement. - Knowledge of data structures, algorithms, and software development fundamentals. - Experience debugging software through coursework, internships, research, co-op placements, or technical projects. - Strong analytical and problem-solving skills. - Interest in low-level software, parallel computing, performance optimization, or hardware/software co-design. - Ability to learn unfamiliar systems and collaborate effectively within a technical team. PREFERRED SKILLS & QUALIFICATIONS - Research, internships, or projects involving kernel development, compilers, computer architecture, HPC, or systems programming. - Familiarity with parallel algorithms, multithreaded programming, or distributed memory systems. - Exposure to programming accelerators such as GPUs, FPGAs, or other specialized processors. - Experience with low-level programming, assembly language, CUDA, OpenCL, or a domain-specific language. - Familiarity with machine learning concepts, neural networks, or frameworks such as PyTorch or TensorFlow. - Exposure to numerical computing, linear algebra, or HPC kernels. - Experience using profiling, benchmarking, or performance analysis tools. - Familiarity with library or API development practices. 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.
Kernel 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. About The Role As a Kernel Engineer on our team, you will develop high-performance software solutions at the intersection of hardware and software, developing high-performance software for cutting-edge AI and HPC workloads. Your focus will be on implementing, optimizing, and scaling deep learning operations to fully leverage our custom, massively parallel processor architecture. You will be part of a world-class team responsible for the design, performance tuning, and validation of foundational ML and HPC kernels. This includes building a library of parallel and distributed algorithms that maximize compute utilization and push the boundaries of training efficiency for state-of-the-art AI models. Your work will be critical to unlocking the full potential of our hardware and accelerating the pace of AI innovation. Responsibilities - Develop design specifications for new machine learning and linear algebra kernels and mapping to the Cerebras WSE System using various parallel programming algorithms. - Develop and debug kernel library of highly optimized low level assembly instruction and C-like domain specific language routines to implement algorithms targeting the Cerebras hardware system. - Develop and debug high-performance kernel routines in low-level assembly and a custom C-like (CSL) language, implementing algorithms optimized for the Cerebras hardware system. - Using mathematical models and analysis to measure the software performance and inform design decisions. - Develop and integrate unit and system testing methodologies to verify correct functionality and performance of kernel libraries. - Study emerging trends in Machine Learning applications and help evolve Kernel library architecture to address computational challenges of the start-of-the-art Neural Networks. - Interact with chip and system architects to optimize instruction sets, microarchitecture, and IO of next generation systems. Skills And Qualifications - Bachelor’s, Master’s, PhD or foreign equivalents in Computer Science, Computer Engineering, Mathematics, or related fields. - Understanding of hardware architecture concepts — must be comfortable learning the details of a new hardware architecture. - Skilled in C++ and Python programming languages. - Good knowledge of library and/or API development best practices. - Strong debugging skills and knowledge of debugging complex software stack. Preferred Skills And Qualifications - Experience in kernel development and/or testing. - Familiarity with parallel algorithms and distributed memory systems. - Experience in programming accelerators such as GPUs and FPGAs. - Familiarity with Machine Learning neural networks and frameworks such as TensorFlow and PyTorch. - Familiarity with HPC kernels and their optimization. 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 - Software Integration 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. ABOUT THE ROLE We are looking for a Software Integration Ninja to join the AI Inference Core team at Cerebras. This team sits at the intersection of AI infrastructure, distributed systems, compilers, runtimes, kernels, and hardware/software co-design. The Innovation Engine for Inference Core — turning ideas into reality. You will help take ambitious ideas from concept to working reality across the Cerebras inference stack. You will integrate and validate cross-component projects of high complexity, often on accelerated timelines, and work directly with engineers across AI, runtime, compiler, kernel, systems, and hardware teams. A SPECIAL TASK FORCE, NOT A TYPICAL ENGINEERING ROLE - Zero-to-one mission: Take incomplete ideas and early prototypes all the way to working, validated capabilities. - Cross-stack complexity: Move across AI frameworks, runtime, compiler, kernels, distributed systems, infrastructure, and hardware—not just one component or codebase. - Accelerated and dynamic cadence: Expect focused daily syncs, rapidly changing priorities, and periods of intense integration work. This is not a role for engineers seeking strictly regular, predictable work hours. - Comfortable on the hot seat: Take ownership when the path is unclear, make sound decisions with incomplete information, and stay effective when timelines are tight. - Bias for action: At critical moments, the mindset is “No Process, No Documentation, Just Get Stuff Done!!!” Cut through unnecessary ceremony, deliver the result, and then turn what you learned into better automation, diagnostics, documentation, and repeatable practices. - Team multiplier: Always push the work forward while raising the pace, clarity, and effectiveness of the people around you. We want people who bring the team with them—not lone heroes. We prefer candidates with experience in software/hardware co-design or other complex systems, but that experience is not required. We welcome exceptional junior engineers who are eager to learn, do not shy away from ambiguity or hard work, and can demonstrate strong fundamentals, curiosity, ownership, and persistence. WHAT YOU WILL DO - Turn new inference ideas and features into integrated, working capabilities across the Cerebras platform. - Take high-value projects from zero to one—from an incomplete idea or prototype to a working, validated capability. - Integrate and validate software components spanning AI frameworks, runtime, compiler, kernels, distributed systems, and hardware. - Drive cross-component projects of high complexity from problem definition through integration, validation, and release readiness. - Collaborate closely with software and hardware engineers to make co-design trade-offs and resolve system-level issues. - Investigate and debug difficult failures across large-scale AI workloads, distributed software, infrastructure, and hardware boundaries. - Work effectively on accelerated timelines while keeping technical risks, dependencies, and decisions visible. - Participate in focused daily syncs, manage rapidly changing priorities, and drive ambiguous situations toward concrete outcomes. - Identify bottlenecks, failure modes, edge cases, and integration gaps that affect inference correctness, performance, or delivery. - Capture the essential lessons from urgent work so the next integration is faster and less chaotic. - Create momentum beyond your own work by helping teammates move faster, make better decisions, and close difficult problems together. MINIMUM SKILLS & QUALIFICATIONS - Strong software-engineering fundamentals and programming ability in Python, C++, Go, or a similar language. - Demonstrated ability to break down ambiguous technical problems, form hypotheses, gather evidence, and drive issues to resolution. - Experience—through professional work, internships, research, academic projects, open source, or equivalent hands-on work—building or debugging software systems. - Curiosity about how complex systems behave across component boundaries. - Willingness to read unfamiliar code, learn new layers of the stack, and take ownership beyond a narrowly defined area. - Ability to work hard and stay effective during periods of uncertainty, rapid change, and accelerated delivery. - Clear communication and strong collaboration across disciplines and levels of experience. PREFERRED SKILLS - Experience in a startup or similarly fast-moving, resource-constrained engineering environment. - Demonstrated experience taking a project from zero to one: turning an ambiguous problem, early idea, or prototype into a working and reliable capability. - Experience with software/hardware co-design, hardware accelerators, compilers, kernels, runtimes, or low-level systems. - Experience debugging complex systems, distributed software environments, or large-scale compute clusters. - Experience with AI infrastructure, model deployment, LLMs, or multimodal workloads. - Exposure to performance debugging, profiling, observability, or failure analysis. - Familiarity with microservices, containers, cluster orchestration, cloud infrastructure, or high-performance computing. - Track record of driving cross-team projects from an incomplete idea to a reliable working result. LOCATION - This role follows a hybrid schedule and requires in-office presence three days per week. Fully remote work is not available. - Office locations: Sunnyvale, CA or Toronto, ON. 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 - SDET Technical Lead, Release I...
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 are looking for a hands-on SDET Technical Lead to establish and lead Release Integration Testing within Release & Feature Qualification for AI Inference Core. The Production Engine for Inference Core — turning integrated features into reliable production releases. You will define the quality strategy across the pre-release and release cycle, from feature and model integration through branch stability, release qualification, deployment, and post-release learning. You will work across AI frameworks, runtime, compiler, kernels, distributed systems, infrastructure, and hardware to make release risk visible and actionable. This is a technical-leadership role, not a coordination-only position. You will design test architecture, lead difficult debugging and release decisions, mentor engineers, and write software and automation alongside the team. Release Integration Testing (RIT) is the bridge between feature qualification and release qualification. Feature teams retain ownership of feature design, feature-level qualification, and feature regression. Release Integration Testing owns inference-core integration strategy, inference-path readiness approval, integrated cross-stack validation, and first-pass rollout triage. WHAT MAKES THIS ROLE DISTINCT - Dedicated Release Integration Testing ownership: Engage before feature qualification completes while keeping the boundary clear: feature teams own feature behavior and qualification; Release Integration Testing owns integration strategy, readiness approval, integrated validation, and first-pass rollout triage. - Inference-path readiness gate: Require evidence across unit, simulation, benchmark, feature, and integration testing, with explicit coverage gaps before release entry. - Cross-stack test strategy: Define risk-based E2E and regression coverage for features spanning components, organizations, software layers, infrastructure, and hardware. - Branch and rollout leadership: Establish measurable health standards for master and release branches, and coordinate inference-impacting rollout across multiple product and release projects. - Hands-on technical authority: Lead through code, test architecture, difficult debugging, quality metrics, and evidence-based release decisions. - Team multiplier: Raise the technical bar, mentor engineers, and align feature, infrastructure, integration, qualification, and release teams. WHAT YOU WILL DO - Define the Release Integration Testing strategy, engagement criteria, ownership boundaries, entry and exit criteria, coverage expectations, and escalation thresholds for AI Inference Core. - Engage early on high-risk inference changes; identify dependencies and interaction risks across runtime, host, device programming, memory, scheduling, model execution, infrastructure, and hardware. - Own the inference-path readiness gate by reviewing unit, simulation, benchmark, feature-test, and integration evidence, documenting gaps, and approving integration readiness before release entry. - Lead integrated inference E2E validation across features and the cloud-to-wafer stack; promote durable feature tests and add risk-based scenarios to release regression. - Improve master and release-branch stability through actionable health metrics, failure classification, release-quality reporting, dashboards, qualification workflows, and release pipelines. - Lead first-pass regression and rollout triage, coordinate owners through resolution, drive RCA, place missing coverage at the correct layer, and plan rollout across multiple product and release projects. - Partner with and mentor SDETs, feature teams, Integration, Core Infra, release owners, and deployment teams; between active engagements, advance automation efficiency, diagnostics, probes, and roadmap test planning. MINIMUM SKILLS & QUALIFICATIONS - Strong software-engineering fundamentals and programming ability in Python Go, or a similar language. - Demonstrated technical leadership in software quality, test infrastructure, systems validation, release engineering, or complex software integration. - Experience designing automation and test architecture for distributed, systems-level, infrastructure, or AI software. - Proven ability to break down ambiguous cross-stack failures, form hypotheses, gather evidence, and drive issues to resolution. - Strong understanding of risk-based testing, release readiness, regression strategy, failure analysis, and quality metrics. - Ability to influence and align multiple engineering teams without relying solely on organizational authority. - Clear communication and sound judgment during high-pressure release situations, including the ability to explain technical risk to engineering and leadership audiences. PREFERRED SKILLS - Experience with software/hardware co-design, hardware accelerators, compilers, kernels, runtimes, or low-level systems. - Experience with AI infrastructure, model deployment, LLMs, multimodal workloads, or large-scale compute clusters. - Experience building test frameworks, distributed test systems, release pipelines, dashboards, or internal developer tooling. - Experience with performance testing, profiling, observability, fault injection, reliability, or production failure analysis. - Experience in a startup or similarly fast-moving, resource-constrained engineering environment. - Track record of taking a quality or release capability from zero to one and scaling it across teams. - Familiarity with containers, cluster orchestration, cloud infrastructure, CI/CD, or high-performance computing. WHAT SUCCESS LOOKS LIKE - Release readiness is based on explicit criteria and high-signal evidence rather than intuition. - Fewer inference-path integration defects are first discovered in final release qualification or production. - Cross-component risks are found earlier, debug cycles are shorter, and coverage ownership is explicit. - Master and release-branch health is measurable, actionable, and steadily improving. - Test automation and release infrastructure shorten feedback loops without sacrificing signal quality. - Release metrics and reports drive clear decisions, ownership, and predictable feature rollout. - Engineers across the organization are more effective because Release Integration Testing provides strong technical direction, tooling, and mentorship. LOCATION - This role requires in-office presence, at least three days per week. Fully remote work is not available. - Office locations: Sunnyvale, CA or Toronto, ON. 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 - Infrastructure SW 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. 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 design and build the core software behind Cerebras engineering infrastructure. You will work on Python frameworks, orchestration systems, distributed execution, scheduling, test infrastructure, and developer tooling. You will help define the architecture and APIs that other engineering teams depend on every day. This role is a strong fit for an engineer who enjoys reading unfamiliar code, understanding how systems fit together, debugging difficult problems, and improving the underlying design rather than applying one-off fixes. We value strong software-engineering fundamentals, independent problem solving, and sound systems thinking more than familiarity with any particular infrastructure product. RESPONSIBILITIES - Design, develop, test, and maintain Python frameworks and services used to orchestrate engineering workflows across machines and clusters. - Build reusable abstractions for scheduling, distributed execution, resource management, test execution, workflow planning, and failure recovery. - Define clear APIs, module boundaries, extension points, and data models that allow infrastructure systems to evolve without becoming difficult to maintain. - Reason about concurrency, asynchronous execution, multiprocessing, state management, retries, idempotency, cancellation, and partial failures. - Debug complex issues spanning Python applications, operating systems, processes, filesystems, networking, remote machines, and distributed services. - Write high-quality automated tests and documentation for infrastructure that is expected to be reliable and widely reused. - Partner with platform, CI, release, quality, ML systems, and product engineering teams to understand requirements and translate them into scalable software designs. SKILLS & QUALIFICATIONS - 3+ years of professional software-engineering experience. - Strong proficiency in Python and a solid understanding of the language’s strengths, limitations, and runtime behavior. - Experience designing maintainable software systems, libraries, frameworks, backend services, or developer-facing APIs. - Good judgment around software architecture, abstraction boundaries, design patterns, extensibility, and long-term maintainability. - Understanding of concurrency concepts such as processes, threads, asynchronous execution, synchronization, and shared state. - Foundational understanding of operating systems, including processes, signals, filesystems, resource management, and program execution. - Foundational understanding of distributed-systems concepts such as retries, timeouts, idempotency, partial failure, coordination, and eventual consistency. - Strong debugging and problem-solving skills, including the ability to form hypotheses, gather evidence, and work through unfamiliar systems independently. PREFERRED SKILLS & QUALIFICATIONS - Experience with Python concurrency technologies such as asyncio, multiprocessing, concurrent futures, or event-driven systems. - Experience building orchestration engines, workflow systems, schedulers, distributed job runners, or control-plane software. - Experience developing test infrastructure or extensions for frameworks such as pytest. - Familiarity with CI systems, build systems, release infrastructure, or developer-productivity tooling. - Experience with Kubernetes, containerized environments, cluster schedulers, or remote execution systems. - 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.
AI and Automation Engineer - Business Systems
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. Hands-on AI engineering, enterprise automation and agile delivery for Finance, operations and business systems About the role The AI and Automation Engineer is a hands-on member of the Business Intelligence and Systems team responsible for designing, building and operating secure AI solutions and enterprise automations for Cerebras. The role will translate complex Finance, Accounting, Supply Chain and enterprise requirements into reliable agents, applications, integrations and controlled workflows. This engineer will serve as a technical owner across the AI and automation lifecycle. The role combines solution architecture with direct engineering, disciplined production support, and delivery through Scrum and Agile practices. Success requires strong software-engineering judgment, practical business-process knowledge and the ability to move a prototype into a secure, tested and supportable production service. What you will do AI solution architecture and engineering • Design, build, test, deploy and support production AI agents, orchestration services, enterprise applications and reusable platform components. • Create reusable patterns for agents, tools, APIs, Model Context Protocol servers, prompts, retrieval, evaluations and human-review workflows. • Design and support secure connections between AI services and approved enterprise platforms, beginning with NetSuite and extending to data, procurement, contracts, HR, CRM and other systems as priorities evolve. • Build reliable integrations using APIs, MCP, webhooks, event-driven services, SFTP and enterprise integration platforms where appropriate. • Own operational requirements for internal and third-party components, including credential and key rotation, access reviews, patching, monitoring, incident response and recovery. AI platform evaluation and production reliability • Evaluate models, agent frameworks, connectors and enterprise platforms through structured proofs of concept and documented technical recommendations. • Assess accuracy, security, reliability, integration fit, user experience, latency, operating cost and vendor viability before production adoption. • Build evaluation datasets, automated and human grading methods, release thresholds and ongoing monitoring for deployed solutions. • Diagnose production failures, identify root causes and implement durable improvements to code, prompts, data, controls and operating procedures. Business process solutions and adoption • Partner with Finance, Accounting, Supply Chain, Business Operations, IT and Security to identify high-value use cases and translate requirements into controlled solutions. • Deliver solutions for close and reporting, forecasting, procurement, billing, compliance monitoring and other enterprise workflows where automation provides measurable value. • Establish clear business ownership, user feedback loops, training and adoption plans for every production workflow. • Use task success, accuracy, business-process cycle time, adoption, trust and support demand to guide iteration and determine whether a solution should scale. Scrum and Agile delivery • Deliver work through a Scrum-based operating model, participating actively in backlog refinement, sprint planning, daily stand-ups, estimation, demonstrations and retrospectives. • Convert business needs into epics, user stories, technical tasks, acceptance criteria, evaluation plans and sequenced releases. • Break complex initiatives into testable increments and communicate scope, dependencies, risks, tradeoffs and delivery status clearly. • Maintain a strong definition of done covering design approval, peer review, testing, security and control validation, documentation, deployment readiness and operational handoff. Security SOX and compliance • Translate Security, Privacy, SOX and SSDLC requirements into technical architecture, application controls and operating procedures. • Implement least privilege, segregation of duties, logging, retention, change control, evidence collection and periodic access review. • Require deterministic validation and reconciliation when AI or automation touches financially material data or calculations. • Support control walkthroughs, testing, audits, risk assessments and remediation while preserving formal approval by the appropriate control owner. What we are looking for • 8+ years of experience in software, platform, integration, solution engineering, enterprise applications or related technical roles, with meaningful hands-on production ownership in complex environments. • Strong Python and TypeScript or JavaScript skills, with practical experience building APIs, services and enterprise applications. • Hands-on experience building production AI systems using agents, tool use, retrieval, structured outputs, evaluations and monitoring. • Practical experience with leading LLM platforms and agent frameworks such as OpenAI, Anthropic, Gemini, LangChain, Semantic Kernel or comparable technologies. • Experience designing integrations with MCP or comparable tool protocols, enterprise authentication, permission-aware access and distributed-system reliability patterns. • Demonstrated ability to design and build complete solutions rather than only evaluate vendors, administer platforms or produce prototypes. • Working knowledge of enterprise Finance processes including close, reporting, procure to pay, order to cash, forecasting and management reporting. • Experience working in Scrum or Agile teams and translating requirements into appropriately sized stories, estimates, acceptance criteria, test plans and releases. • Working knowledge of software engineering practices including version control, peer review, environment management, automated testing, CI/CD and observability. • Strong analytical, troubleshooting and communication skills, with the ability to work effectively with business leaders, engineers, Security, control owners and external partners. Nice to have • Experience building AI or automation solutions for Finance, Accounting, Supply Chain or other controlled enterprise processes. • Experience integrating AI services with ERP, data, procurement, contract, HR, CRM or enterprise workflow platforms. • Experience with cloud platforms, event-driven or serverless architectures and enterprise integration platforms. • Experience implementing SOX controls or operating in a public-company, IPO-readiness or audit-regulated environment. • Experience in semiconductor, hardware, manufacturing or another operationally complex environment. 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.
Technical Sourcer
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 As a Technical Sourcer, you will be the engine for our growth as a leading foundation model company, responsible for identifying and engaging world-class technical talent. This is an incredibly hands-on role, where you’ll be expected to not only source, but to screen and manage candidates through the process, as well as lead on strategic hiring initiatives alongside Recruiting. YOUR IMPACT - Strategic Talent Mapping: Develop and execute innovative sourcing strategies to identify and attract top-tier talent for roles in Research/ML Engineering, Platform & Software Engineering and Product Engineering - Creative Sourcing: Go beyond LinkedIn. Utilize a variety of channels including academic conferences (NeurIPS, ICML, ICLR), research publications (arXiv, Google Scholar), open-source communities (GitHub, Hugging Face), and professional networks to find exceptional candidates. - Pipeline Generation: Build and maintain a robust pipeline of qualified, passive candidates for current and future hiring needs, ensuring a healthy influx of talent for our most critical roles. - Personalized Outreach: Craft compelling, personalized, and authentic outreach messages that resonate with a highly technical and sought-after audience. You understand that a generic message won't work. - Candidate Engagement: Act as the first point of contact for candidates entering the process with Cartesia, to deliver an exceptional candidate experience - Partnership: Collaborate closely with Recruiting and hiring managers to understand the precise technical requirements and nuances of each role, continuously calibrating your search. WHAT YOU BRING - 2-5 years of experience in technical sourcing, with a focus on Engineering hiring - A proven ability to source for highly specialized technical roles. You are comfortable discussing concepts related to machine learning, deep learning, NLP, or large-scale systems - A track record of leveraging sourcing techniques including Boolean search, talent mapping, and navigating complex online ecosystems to uncover talent - Excellent written and verbal communication skills, with the ability to craft messages that are both technically credible and personally engaging - A relentless drive to find the best talent and a deep curiosity about the AI landscape that fuels your search. - Meticulous attention to detail and experience using applicant tracking systems (ATS) and other recruiting software to manage candidate pipelines. 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.
Software Engineer, Agent Harness
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 Cartesia builds real-time multimodal intelligence: fast, state-of-the-art voice models, and the platform that puts them into production. We started as a research lab, pioneered the state space model architecture, and now we're bringing that research to customers through Managed Agents, our voice agents product. In this role, you'll build the platform behind Managed Agents. Customers rely on our stack to run real-time, production-grade voice agents. You'll own the stack end-to-end and directly shape the latency, reliability, and developer experience of every agent built on Cartesia. YOUR IMPACT - Evolve the realtime transport layer that carries audio between users and agents, expanding how customers connect across web, SDKs, and telephony without regressing latency or quality. - Trace and cut end-to-end conversational latency across the STT, LLM, and TTS pipeline. - Make agent deployments fast and resilient: faster cold starts, smarter scaling, graceful behavior under load. - Define how voice agent quality is measured, building eval suites, LLM-as-judge scoring, and regression tracking that catch quality and latency regressions before they ship. WHAT YOU BRING - Experience building and operating distributed backend systems in production, ideally at a high-growth startup. We care more about what you've shipped than strict years of experience. - Strong product instincts: you think in customer-facing latency, reliability, and developer experience, and you have opinions on what to build and why. - Fluent use of coding agents and a habit of keeping pace with the frontier. - Clear communication with technical and non-technical audiences, sharp specs, and a strong presence in design reviews. NICE-TO-HAVES - Experience with real-time media systems in production, including WebRTC, SIP, RTP, or low-latency audio. - Experience with voice agents or agent frameworks such as Pipecat, LiveKit, OpenAI Agents SDK, Claude SDK, or Vercel AI SDK. - Experience building developer-facing platforms or infrastructure, such as SDK backends or API platforms. - Experience with distributed systems at scale, including high-throughput workloads, autoscaling, multi-region architectures, or queue-based systems. 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.
Research Engineer, Data Infrastructure (Language M...
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 Research Engineer, Data Infrastructure to build the datasets and systems that power pretraining at Cartesia. In this role, you will write performant, scalable infrastructure to acquire, process, and curate massive datasets, and partner closely with research to optimize the characteristics and composition of data mixtures. Your work will directly shape the capabilities and quality of our foundational models. YOUR IMPACT - Build and operate performant, scalable data processing infrastructure for acquiring, ingesting, and combining massive text datasets. - Design and operate scalable, high-throughput, and reproducible data pipelines — covering ingestion, preprocessing, filtering, deduplication, and augmentation. - Design and run ablation experiments to understand how data sources, processing choices, and mixture weights affect model quality. - Partner closely with research and infrastructure teams to co-design data loading, versioning, and experimentation 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. - 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. - Familiarity with building and evaluating datasets for generative models and reasonable working knowledge of how they're trained and inference. NICE-TO-HAVES - Experience with large-scale data processing using parallel infrastructure such as Ray, Spark, or Kubernetes. - Experience with pretraining language models. 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.
Inference Engineer
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 We're hiring an Inference Engineer to advance our mission of building real-time multimodal intelligence. YOUR IMPACT - Design and build low latency, scalable, and reliable model inference and serving stack for our cutting edge foundation models using Transformers, SSMs and hybrid models. - Work closely with our research team and product engineers to serve our suite of products in a fast, cost-effective, and reliable manner. - Design and build robust inference infrastructure and monitoring for our products. - Have significant autonomy to shape our products and directly impact how cutting-edge AI is applied across various devices and applications. WHAT YOU BRING Given the scale and difficulty of problems we work on, we value strong engineering skills at Cartesia. - Strong engineering skills, comfortable navigating complex codebases and an eye for writing clean and maintainable code. - Experience building large-scale distributed systems with high demands on performance, reliability, and observability. - Technical leadership with the ability to execute and deliver zero-to-one results amidst ambiguity. - Background in or experience working on inference pipelines with machine learning and generative models. - Experience implementing state of the art Machine Learning models and research to applied problems. - Preferable: experience with vLLM, SGLang, Continuous Batching or other inference frameworks. - Preferable: experience working in CUDA, Triton or similar 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.
Machine Learning Researcher, Audio
MACHINE LEARNING RESEARCHER, AUDIO Location: San Francisco, CA or Remote ABOUT BLAND At Bland.com, our mission is to empower enterprises to build AI phone agents at scale. Based in San Francisco, we are a fast-growing team reimagining how customers interact with businesses through voice. We have raised $100 million from leading Silicon Valley investors, including Emergence Capital, Scale Venture Partners, Y Combinator, and founders of Twilio, Affirm, and ElevenLabs. Voice is quickly becoming the primary interface between businesses and their customers. We are building the models and infrastructure that make those interactions feel natural, reliable, and genuinely human. THE ROLE: MACHINE LEARNING RESEARCHER, AUDIO As a Machine Learning Researcher at Bland, you'll be working on foundational research and development across the core components of our voice stack: speech-to-text, large language models, neural audio codecs, and text-to-speech. Your work will define how our agents understand, reason, and speak in real time at enterprise scale. This is not a narrow research role. You will take ideas from theory to large-scale training to production inference systems serving millions of calls per day. You will design new modeling approaches, validate them with rigorous experimentation, and collaborate with engineering teams to deploy them into real customer environments. WHAT YOU WILL DO Build and Scale Next-Generation TTS Systems - Design and train large scale text-to-speech models capable of expressive, controllable, human-sounding output. - Develop neural audio codec-based TTS architectures for efficient, high-fidelity generation. - Improve prosody modeling, question inflection, emotional expression, and multi-speaker robustness. - Optimize for real-time, low-latency inference in production. Advance Speech-to-Text Modeling - Build and fine-tune large scale ASR systems robust to accents, noise, telephony artifacts, and code switching. - Leverage self-supervised pretraining and large-scale weak supervision. - Improve transcription accuracy for real-world enterprise scenarios, including structured extraction and conversational nuance. Pioneer Neural Audio Codecs - Research and implement neural audio codecs that achieve extreme compression with minimal perceptual loss. - Explore discrete and continuous latent representations for scalable speech modeling. - Design codec architectures that enable downstream generative modeling and controllable synthesis. Develop Scalable Training Pipelines - Curate and process massive audio datasets across languages, speakers, and environments. - Design staged training curricula and data filtering strategies. - Scale training across distributed GPU clusters focusing on cost, throughput, and reliability. Run Rigorous Experiments - Design ablation studies that isolate the impact of architectural changes. - Measure improvements using both objective metrics and perceptual evaluations. - Validate ideas quickly through focused experiments that confirm or eliminate hypotheses. WHAT MAKES YOU A GREAT FIT Deep Research Foundations - Experience with self-supervised learning, multimodal modeling, or generative modeling. - Ability to derive new formulations and implement them efficiently. Expertise in Voice Modeling - Hands-on experience building or scaling TTS, STT, or neural audio codec systems. - Familiarity with large scale speech datasets and real-world audio variability. - Strong intuition for audio quality, prosody, and conversational dynamics. Systems and Hardware Awareness - Experience training and serving large models on modern accelerators. - Knowledge of inference optimization techniques, including quantization, kernel optimization, and memory efficiency. - Understanding of real-time constraints in telephony or streaming environments. Experimental Rigor - Track record of designing controlled experiments and meaningful ablations. - Comfortable working with both offline benchmarks and live production metrics. - Ability to move quickly from hypothesis to validation. Builder Mentality - Comfortable in fast-moving startup environments. - Strong ownership mindset from research through deployment. - Excited by ambiguous, unsolved problems. HOW YOU SHOW UP - You treat unsolved problems as opportunities to invent new paradigms. - You identify the single experiment that can validate an idea in days, not months. - You measure everything and let data drive decisions. - You are obsessed with making voice agents sound truly human. - You use AI tools aggressively to amplify your own impact and accelerate research cycles. BONUS POINTS - Experience with large scale distributed training. - Research publications or open source contributions in speech or language AI. - Background in real-time speech systems or telephony. - PhD in ML, AI, or a related field, or equivalent research impact. BENEFITS AND COMPENSATION - Healthcare, dental, vision, all the good stuff - Meaningful equity in a fast-growing company - Every tool you need to succeed - Beautiful office in Levi's Plaza, SF with rooftop views - Competitive salary: $160,000 to $280,000 If you are energized by building and scaling TTS models, pioneering neural audio codecs, and pushing the boundaries of speech-to-text systems, we would love to hear from you. Additional Information Bland is an equal opportunity employer. We are committed to proving equal employment opportunities to all qualified applicants and employees and do not discriminate based on any legally protected characteristic. Bland participates in the E-Verify employment verification program. All new hires are required to complete the Form I-9, and employment will be verified though E-Verify as part of the onboarding process.
Member of Technical Staff - Image / Video Generati...
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. We’re creating the generative models that power how people make images and video—tools used by millions of creators, developers, and businesses worldwide. Our FLUX models are among the most advanced in the world, and we’re just getting started. 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 You'll train large-scale diffusion models for image and video generation, exploring new approaches while maintaining the rigor that helps us distinguish meaningful progress from incremental tweaks. This isn't about following established recipes—it's about running the experiments that clarify which architectural choices matter and which are less impactful. WHAT YOU’LL WORK ON - Trains large-scale diffusion transformer models for image and video data, working at the scale where intuitions break and empirical evidence matters - Rigorously ablates design choices—running experiments that isolate variables, control for confounds, and produce insights you can actually trust—then communicating those results to shape our research direction - Reasons about the speed-quality tradeoffs of neural network architectures in production settings where both constraints matter simultaneously - Fine-tunes diffusion models for specialized applications like image and video upscalers, inpainting/outpainting models, and other tasks where general-purpose models aren't enough WHAT WE’RE LOOKING FOR You've trained large-scale diffusion models and developed strong intuitions about what matters. You know that at research scale, every design choice has tradeoffs, and the only way to know which ones are worth making is through careful ablation. You're comfortable debugging distributed training issues and presenting research findings to the team. You likely have: - Hands-on experience training large-scale diffusion models for image and video data, with practical knowledge of common failure modes and what matters most in training - Experience fine-tuning diffusion models for specialized applications—upscalers, inpainting, outpainting, or other tasks where understanding the domain matters as much as understanding the architecture - Deep understanding of how to effectively evaluate image and video generative models—knowing which metrics correlate with quality and which are just convenient proxies - Strong proficiency in PyTorch, transformer architectures, and the full ecosystem of modern deep learning - Solid understanding of distributed training techniques—FSDP, low precision training, model parallelism—because our models don't fit on one GPU and training decisions impact research outcomes We'd be especially excited if you: - Have experience writing forward and backward Triton kernels and ensuring their correctness while considering floating point errors - Bring proficiency with profiling, debugging, and optimizing single and multi-GPU operations using tools like Nsight or stack trace viewers - Know the performance characteristics of different architectural choices at scale - Have published research that contributed to how people think about generative models 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.
Technical Recruiter, AI/ML and Leadership Recruiti...
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 As the AI/ML Recruiter at Bedrock Robotics, you'll lead end-to-end recruiting for our most critical technical and leadership roles as we bring advanced autonomy to the $13 trillion construction industry. You'll partner directly with engineering leadership and our founding team to identify and close world-class talent in AI/ML and robotics, and help shape how we hire as we scale autonomous construction equipment across the U.S. You’ll hunt and close the AI/ML researchers, perception engineers, and autonomy scientists that top AI labs are fighting over, through real relationships in academic labs, conference circuits (NeurIPS, CVPR, ICLR, ICRA), and the spinout ecosystem, not LinkedIn searches. You'll need enough technical fluency to hold your own with a computer vision PhD, spot breakout talent before it's obvious, and earn respect. And you'll need to close like it matters: know which candidates are at risk, why offers stall, and when to step in, whether that's pulling in leadership, resetting the comp story, or creating urgency. Losing a top-1% hire to OpenAI or Anthropic over process lag isn't an option. WHAT YOU'LL DO - Own full-cycle recruiting for AI/ML, perception, and robotics roles, partnering directly with engineering leadership and founders on hiring strategy - Own technical Leadership searches - Build and use AI-powered recruiting tools to source faster and keep pipeline data clean - Run compensation strategy and offer negotiation for niche AI/ML and robotics specialties, using market intelligence from tech and construction - Represent Bedrock at technical conferences and robotics meetups to build our employer brand - Partner with leadership to scale recruiting operations and mentor future recruiters as the team grows WHAT YOU'LL BRING - 10+ years of full-cycle technical recruiting experience, with a track record of winning talent away from competitive AI/ML, robotics, and autonomous systems companies - Deep technical fluency in AI/ML, computer vision, perception, motion planning, reinforcement learning, and model architecture, enough to evaluate research quality and engineering depth - Advanced sourcing skills across Boolean search, LinkedIn Recruiter, GitHub, research papers, and technical community networks, backed by fluency with AI-powered recruiting tools - A data-driven approach to pipeline health and market intelligence - Strong negotiation skills for offers involving equity, relocation, and competing startup opportunities LOCATION REQUIREMENTS - San Francisco Bay Area based, hybrid, 2-3x per week in office - Regular in-person collaboration with engineering teams and leadership - Occasional travel for conferences, industry events, and partnership meetings PREFERRED BACKGROUND - Previous recruiting experience in AI, at top AI labs, autonomous vehicle companies, or robotics startups - Understanding of safety-critical software development and hardware-software integration - Network within AI/ML research communities and the autonomous systems industry - Experience scaling recruiting operations in high-growth startup environments - Industry knowledge of construction technology or industrial automation 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.
2027 Internship Behavior Machine Learning Engineer...
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. ABOUT THE ROLE & TEAM Predicting what happens next on a construction site is one of the hardest and most valuable problems at Bedrock, whether that's soil dynamics, machine interactions, or the people moving around the site. Every scoop of dirt we move rewrites the scene we have to plan against. The Behavior ML team is building world models that let our machines reason about the near future instead of just reacting to the present. As our intern, you'll train models on real fleet data, run architecture explorations, and work closely with the Behavior and Controls teams to ship what you build onto a real excavator. WHAT YOU'LL DO - Train and evaluate world models on real fleet data collected from autonomous machines in the field - Run architecture explorations and ablations, and make a defensible case for what's actually working - Build evaluation harnesses and metrics that tell us whether a model is genuinely better - Partner with the behavior and controls teams to connect model outputs to planning and control - Present your findings and provide a solid foundation for the team to build upon WHAT WE'RE LOOKING FOR REQUIRED - Currently pursuing a BS, MS, or PhD in computer science, machine learning, robotics, or a related field — or bringing equivalent research or industry experience - Strong Python and hands-on experience training models in PyTorch (or equivalent) - Ability to read a paper and turn it into a working implementation - Comfort with messy, real-world data — this is not a curated benchmark - Sound experimental judgment understanding the difference between a real result and noise PREFERRED - Experience with world models, video prediction, or sequence modeling (e.g., DreamerV3, V-JEPA 2, Genie 3, GAIA-2, NVIDIA Cosmos, etc.) - Background in reinforcement learning or imitation learning - Prior work with robotics or autonomous vehicle data - Familiarity with large-scale training infrastructure 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.
Product Marketing Manager, Training
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 are seeking an experienced Product Marketing Manager with a strong background in engaging developer audiences and delivering impactful go-to-market programs for native AI and enterprise companies. This role requires someone who is both technically savvy and strategic, with a proven track record of crafting compelling product narratives and building marketing assets that resonate with technical decision-makers. This role is specifically focused on our post-training offerings at Baseten. We’re looking for someone who has experience in and is ready to learn more about all things post-training. If you’re passionate about AI infrastructure, post-training, developer engagement, and simplifying complex technologies for real-world adoption, we want to hear from you. RESPONSIBILITIES - Positioning & Messaging: Develop clear and differentiated messaging that articulates the value of Baseten’s inference platform to developers and enterprise customers. - Narrative Development: Shape how the market thinks about closed-to-open weights models and post-training ROI. - Go-to-Market Strategy: Own the launch process for new features and products, collaborating closely with product, engineering, sales, and growth teams. - Content Development: Create high-quality marketing assets, including white papers, technical blogs, demos, and customer case studies. - Sales Enablement: Build resources and programs that empower our sales teams to effectively communicate Baseten’s capabilities and benefits - Market Insights: Understand the fast-moving AI market and build competitive and market analysis to inform product positioning strategies. REQUIREMENTS - 3+ years of experience in product marketing, preferably in developer tools, cloud infrastructure, or SaaS. - Proven success creating technical product marketing content and campaigns targeting developer audiences. - Working understanding of the LLM landscape: post-training, open-weight and closed models, training techniques. - Excellent written and verbal communication skills, with the ability to simplify complex concepts. - Technically adept and comfortable working with engineering teams to understand product capabilities. - Knowledge of AI/ML infrastructure, model training, and post-training concepts. - Familiarity with developer ecosystems, APIs, and modern software development practices. - Worked at a fast-moving startup and can adjust quickly - Ability to thrive in a dynamic, fast-paced environment with multiple stakeholders. 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 Marketing Manager, Model API
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 are seeking an experienced Product Marketing Manager with a strong background in engaging developer audiences and delivering impactful go-to-market programs for native AI and enterprise companies. This role requires someone who is both technically savvy and strategic, with a proven track record of crafting compelling product narratives and building marketing assets that resonate with technical decision-makers. This role is specifically focused on our Model API product offering at Baseten. If you’re passionate about AI infrastructure, developer engagement, and simplifying complex technologies for real-world adoption, we want to hear from you. RESPONSIBILITIES - Positioning & Messaging: Develop clear and differentiated messaging that articulates the value of Baseten’s inference platform to developers and enterprise customers. - Narrative Development: Shape how the market thinks about closed-to-open weights models and what matters most when building inference. - Go-to-Market Strategy: Own the launch process for new features and products, collaborating closely with product, engineering, sales, and growth teams. - Content Development: Create high-quality marketing assets, including white papers, technical blogs, demos, and customer case studies. - Sales Enablement: Build resources and programs that empower our sales teams to effectively communicate Baseten’s capabilities and benefits. - Market Insights: Understand the fast-moving AI market and build competitive and market analysis to inform product positioning strategies. REQUIREMENTS - 3–8+ years of experience in product marketing, preferably in developer tools, cloud infrastructure, or SaaS. - Proven success creating technical product marketing content and campaigns targeting developer audiences. - Working understanding of the LLM landscape: post-training, open-weight and closed models, training techniques. - Excellent written and verbal communication skills, with the ability to simplify complex concepts. - Technically adept and comfortable working with engineering teams to understand product capabilities. - Familiarity with developer ecosystems, APIs, and modern software development practices. - Worked at a fast-moving startup and can adjust quickly. Ability to thrive in a dynamic, fast-paced environment with multiple stakeholders. 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 Finance, Training & New 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 We’re looking for a high-performing strategic finance professional to join our growing Product Finance team. Training is one of Baseten's fastest-evolving businesses and it won't be the last new product line we launch. You'll own the economics of Training end to end and be the finance owner for new products as they go from idea to launch to scale, partnering directly with Product, Engineering, Infrastructure, and GTM leadership on the pricing, margin, and capacity decisions that shape each business. This is a builder role: much of what you'll own doesn't exist yet as a model, a dashboard, or a process. This role is ideal for someone with 5 to 8 years of experience across strategic finance, investing, and/or investment banking who wants broad exposure to company-building inside a fast-scaling AI infrastructure company. Experience at a usage-based company is a plus. RESPONSIBILITIES - Build and maintain cost-to-serve models for Training engagements across compute, delivery time, and reserved capacity - Own Training pricing and recommend structures across committed engagements, usage-based pricing, and packaged offerings - Track training capacity utilization and tie capacity plans to pipeline - Run the monthly Training business review across bookings, utilization, margin, pipeline, and renewal and expansion trends - Own the Training forecast and annual plan, including compute needs, unit costs, and multi-year P&L - Partner with Product on new products from concept onward, building pre-launch business cases, cost-to-serve views, and go/no-go recommendations - Set launch pricing and packaging for new products - Define success metrics and scale criteria at launch REQUIREMENTS - Bachelor's degree in Business Administration, Finance, or Economics - 5+ years of experience in strategic finance at a high-growth company, PE/VC investing, and/or investment banking - Excellent financial modeling and analytical skills, including building unit economics or cost-to-serve models from raw usage and cost data - Ability to synthesize complex information into clear recommendations for executives - Comfortable building from scratch and making decisions with incomplete data in a fast-moving environment - Strong attention to detail with a bias toward ownership and execution - Excellent communication and presentation skills - High intellectual curiosity and interest in AI / infrastructure / developer tooling - Advanced Excel / Google Sheets skills; familiarity with SQL or BI tools is a plus NICE TO HAVE - Experience with GPU compute economics or cloud infrastructure - Familiarity with how ML model training and fine-tuning work - Experience with product-led growth economics, such as free tiers, credits, and conversion - Experience pricing or launching a new product line 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).
Data Scientist (Analytics)
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 hiring a Data Scientist to help build and scale our internal analytics capabilities. This is a foundational role where you’ll create dashboards, models and insights to power business and product teams alike. You’ll collect requirements, define key metrics, and deliver recommendations directly to stakeholders. You'll define what success looks like across a technical, usage-based platform and turn ambiguous questions into analyses, forecasts, and experiments that shape Baseten’s product and strategy. RESPONSIBILITIES - Build and maintain production-grade models and dashboards across multiple functions with a focus on accuracy, simplicity and user experience. - Define and instrument core metrics around capacity, availability, ROI, product adoption, revenue and costs. - Ingest and transform raw data using tools like dbt, Airbyte, and Databricks. - Partner with Engineering, Finance, Marketing, and Sales teams to understand goals and translate them into data solutions - Analyze product, operational and commercial data to identify opportunities, quantify tradeoffs, and influence product and GTM priorities. - Present findings and recommendations to technical and nontechnical audiences, including company leaders. REQUIREMENTS - 5+ years of experience in analytics, BI, or data engineering roles - Strong SQL skills with the ability to write complex queries for data transformation and analysis - Experience designing medallion data architectures, including raw, conformed, and business-ready models with testing, documentation, and lineage. - Excellent communication skills and a collaborative approach to working with cross-functional teams - Demonstrated ability to explain complex work and make clear recommendations to technical and business audiences. NICE TO HAVE - Experience with AI infrastructure, developer platforms, or inference. - Hands-on forecasting expertise, including ARIMA, Prophet, or comparable time-series methods, with disciplined backtesting, error analysis, and scenario planning. - Working knowledge of model-serving and training workflows and the infrastructure metrics that shape performance and cost. - Practical experimentation experience, including test design, power analysis and knowing when directional evidence is sufficient to act. 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).
Staff 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. What we are looking for 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 Staff Software Engineer and Machine Learning practitioner to join the Perception Tracker Team at Aurora. In this role, you will play a critical part in elevating the Aurora Driver’s perception performance and expanding our driverless operational domain across key routes throughout the United States. Your work will be fundamental to scaling our mission, directly contributing to the delivery of self-driving benefits safely, quickly, and broadly. In this role, you will - Tackle end-to-end perception challenges, including tracking dynamic actors, recognizing actions and attributes, and developing deep semantic understanding of diverse traffic environments. - Research and develop state-of-the-art deep learning and machine learning models to enhance perception performance in challenging, real-world scenarios, such as highway and urban driving, long-range multi-sensor tracking, and degraded sensor conditions. - Collaborate cross-functionally to iterate on the Perception system, translating insights from on-road and simulated testing into robust, high-quality, and well-tested software solutions. - Drive the software development lifecycle from prototype to production, focusing on large-scale data analysis and the deployment of performing, production-ready solutions on the real-time Aurora Driver platform. - Contribute to architectural strategy and team collaboration, ensuring our perception systems remain scalable, efficient, and at the forefront of autonomous driving technology. - Example projects that a candidate could potentially contribute to (list not exhaustive): - Design and implementation of state-of-the-art object tracking algorithms. - Design algorithms to extract, leverage, and fuse complementary information from different sensors. - Design and implement state-of-the-art ML systems for object tracking and attribute estimation leveraging expertise in recursive state estimation, Hidden Markov models, structured prediction, and sequential models. - Build and improve model pipelines for large-scale and efficient model training. - Analysis of failure modes and implementation/testing of solutions to address the surfaced issues Required Qualifications - Master's degree or higher in Computer Science, Robotics, Electrical Engineering, or a related field (or Bachelor with 2+ years of relevant industry experience in software engineering). - Proficient software engineering skills in C++ and Python, with a focus on writing clean, scalable, and efficient production-quality code. - Working knowledge in one or more focus areas of ML: deep learning, computer vision, recursive state estimation, structured prediction, optimization, and others. - Experience with PyTorch, Tensorflow, and/or other deep learning frameworks Desirable Qualifications - Experience deploying production-grade CV/ML models within real-time computing environments. - Strong grasp of fundamentals: linear algebra, discrete and continuous optimization, supervised and unsupervised methods, generative and discriminative methods, and Hidden Markov Models. - Hands-on experience with VLM, foundational or world models. - Hands-on experience in CUDA or high-performance GPU programming for accelerated computing. - Publication record at top-tier robotics/computer vision conferences/journals, or strong industry experience in relevant fields (robotics, computer vision, self-driving technology) - Demonstrated experience automating ML workflows and optimizing training pipelines for efficiency. - Contributions to open source project(s) - Proven ability to thrive in highly collaborative, cross-functional engineering environments. For roles based in Mountain View, CA and Seattle, WA: The salary range for this position is $189,000 - $303,000 per year. For roles based in Pittsburgh, PA: The salary range for this position is $171,000 - $273,000 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.
Senior AI Product Manager, Observability
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 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 Team Our team is working to define the “canonical stack” for AI workflows, by solving the toughest problems in AI today: how to experiment, evaluate, understand and improve models or applications at scale in a responsible way. The product team has deep technical and strategic backgrounds from leading AI/ML companies (Uber, Cruise, Spotify, Apple) and experience shipping market leading platforms at scale. Working with this team is an opportunity to develop further as a PM leader in a rapidly growing space by collaborating with some of the best in class AI Engineers and Data Scientists in the industry. What You’ll Do - You will be owning, strategizing, and developing a large portion of Arize AI’s core product roadmap. - From ideation to creation, you will be involved in all stages of the product life cycle. - You will be engaging with our customers directly to gather meaningful insight and feedback in order to create a world class product. - You will be working cross functionally with internal and external stakeholders; including engineering, design, marketing, and sales to drive our product strategy into production. - You will be responsible for communicating and integrating competitive analysis, usability research, and market analysis into product requirements. - Utilize your understanding in AI/ML/CV or related technical space in order to contribute to Arize AI’s main product offering. What We’re Looking For - 3-5+ years of relevant product management experience or previous AI/ML experience with strong product ownership in an AI-native company - Previous engineering and/or tech lead experience - Strong track record of building in a technical domain while shipping quickly and efficiently. - Willingness to get your hands dirty with code! - Experience and/or knowledge of working within machine learning, or data platforms and infrastructure. - Experience working directly with customers and promoting community discussions in order to gather client feedback. - Experience driving data-informed product strategy into production. Bonus Points, But Not Required - Experience in API design - Early startup experience - Experience working with Figma or similar design tools The estimated annual salary for this role is between $200,000-$250,000, 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
Forward Deployed AI Engineer, 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 We are seeking an experienced Forward Deployed AI Engineer to work directly with client engineering teams, manage multiple concurrent projects, and drive technical solutions that extend beyond our core platform offering. This is a client-facing, hands-on technical role that combines deep AI expertise with business acumen to deliver results on tight timelines while building lasting client relationships. 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 - Partner directly with enterprise AI teams to design, implement, and scale production-grade GenAI observability and evaluation programs. - Lead technical discussions with customer stakeholders ranging from engineers to senior executives, translating business priorities into scalable technical solutions. - Build custom integrations, tooling, and workflows that extend the Arize platform to meet customer-specific requirements. - Manage multiple concurrent customer engagements, driving projects from scoping through delivery while maintaining a high bar for technical execution and customer experience. - Collaborate cross-functionally with Sales, CS, Product, and Engineering teams to shape implementation strategy, influence product direction, and expand customer impact. - Help define and scale best practices, technical playbooks, and delivery methodologies for the growing Forward Deployed Engineering team. What We’re Looking For - Software Development: 2-5 years of hands-on software development experience with strong technical foundations. We work extensively in Python, Java, and TypeScript, and expect candidates to be comfortable working in at least two of those languages. - ML/AI Engineering: Experience building MLOps pipelines and/or developing, deploying, and iterating on Generative AI applications in production environments.. - Cloud Technologies : Experience working with public cloud platforms (e.g., AWS, GCP, Azure) as well as containerization and orchestration technologies (e.g., Docker and Kubernetes). - Communication: Excellent communication skills with the ability to work effectively across both technical and business audiences. You should be comfortable engaging with senior executives on business outcomes and metrics, collaborating with engineers on technical implementation details, and translating seamlessly between the two. - Project Management: Proven ability to manage multiple client engineering engagements simultaneously and deliver high-quality technical outcomes under demanding timelines. - Adaptability: Comfortable operating in fast-paced startup or consulting environments, with the ability to navigate diverse client organizations, technical stacks, and evolving priorities. - Passion for AI: We live and breathe AI at Arize. The strongest candidates are genuinely excited about the space and energized by staying at the forefront of rapidly evolving AI technologies. The estimated annual salary and variable compensation for this role is between $155,000 - $190,000, 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
Senior Reinforcement Learning Engineer
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 The Senior Reinforcement Learning Engineer is a key, hands-on role focused on achieving state-of-the-art performance on our humanoid robots. This engineer will leverage their deep expertise in RL to solve critical locomotion and manipulation challenges and deliver breakthrough results on physical hardware. The primary focus of this role is to rapidly implement, iterate, and deploy advanced learning algorithms to push the boundaries of what our robots can do. As a senior member of the team, this individual will also be responsible for mentoring junior engineers, elevating the team's overall technical capabilities through their guidance and expertise. ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES - Implement and deploy state-of-the-art RL algorithms to achieve ambitious, world-class performance on dynamic locomotion and manipulation tasks with physical hardware. - Drive the entire development cycle, from prototyping in simulation to robustly transferring and fine-tuning policies on the robot. - Optimize and scale the RL training pipeline for faster iteration, contributing to core infrastructure for high-throughput simulation and distributed training. - Mentor junior engineers by providing technical guidance, conducting insightful code reviews, and sharing best practices in reinforcement learning and software development. - Collaborate closely with the robotics and hardware teams to diagnose system-level issues and co-develop solutions that enable more complex learned behaviors. - Analyze and present hardware results to guide future technical directions and demonstrate progress on key company objectives. - Develop and refine motion retargeting pipelines to translate human demonstration data (mocap, teleoperation) into robust reference trajectories for reinforcement learning. SKILLS AND REQUIREMENTS - Deep, hands-on expertise (5+ years) with common RL frameworks (e.g., PyTorch, JAX) and high-fidelity physics simulators (e.g., MuJoCo, IsaacGym) - Mastery of Python for rapid prototyping and training, alongside strong proficiency in C++ for developing performant, deployable code. - Experience building or utilizing large-scale, distributed training pipelines and a strong intuition for their optimization. - A strong theoretical understanding of modern reinforcement learning, including deep expertise in areas like imitation learning, model-based RL, and sim-to-real transfer techniques. - A strong intuition for robot dynamics and controls theory, with the ability to apply these principles to guide and constrain learning-based approaches. - A results-oriented mindset with a passion for seeing complex algorithms work on real-world hardware. EDUCATION and/or EXPERIENCE - A PhD or MS in Computer Science, Robotics, or a related field, with 2+ years industry experience strongly preferred. - A proven track record of successfully deploying learning-based policies on physical robotic systems, especially legged robots or manipulators. - Demonstrated experience mentoring or providing technical guidance to other engineers in a team environment. - A strong publication record in relevant conferences or journals (e.g., CoRL, RSS, ICRA) is a significant plus. 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 *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.
Sensor Sim - ML 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 MEET OUR SOFTWARE ENGINEERS! Meet some of our software engineers who are shaping the future of autonomy and delivering world-class solutions helping customers shorten time to market. Hear about what brought them to Applied Intuition, what’s kept them interested, and their advice to potential candidates. ABOUT THE ROLE We are looking for a software engineer to join our team working on the incorporation of modern machine learning approaches into production-grade sensor simulation. In this role you will work with our research team to apply state of the art approaches to model worlds and sensors such as Lidars, Radars and Cameras. AT APPLIED INTUITION, YOU WILL: - Drive research, development and deployment of generative and other machine learning techniques into our sensor simulator. - Work closely with rendering and physics-based modeling teams to build novel approaches fusing the best of all techniques. - Focus on projects with a clear path to production value and customer impact. WE'RE LOOKING FOR SOMEONE WHO HAS: - A Bachelor's degree in Computer Science, Software Engineering, or equivalent - 5+ years of experience building software components or (sub) systems that address real-world machine learning challenges - A passion for turning their domain expertise into tooling that boosts the productivity of teams working on various real-world applications of autonomous systems - Hands-on experience with evaluation and optimization for large generative models - Hands-on experience with agentic system design - Deep understanding of machine learning foundations who can apply various techniques to new problems - Understanding of 3D geometry, optical flow or video generation NICE TO HAVE: - Experience working with Generative World Models (Cosmos, UniSim, sora-style architectures) - Experience with robotics simulation products (IssacSim, MuJoCo, Omniverse, USD) - Experience with applying synthetic data to machine learning tasks - Hands on experience with characterization of models for Lidar, Radar, and Camera 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 Intern - World-Action Foundation Model, R...
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 multiple passionate Research Interns to join the Research Group at Applied Intuition. The mission of the group is to create cutting-edge technology enabling next-generation physical AI, with emphasis on the two most challenging applications reshaping our everyday life: end-to-end autonomous driving and robotic generalist. We have a group 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. Supported by industry-leading tools and infra, researchers can access millions of miles of data from large fleets, and deploy methods they develop into various autonomous and robotic systems including self-driving cars/trucks, autonomous mining/construction machines, humanoid robots and dexterous hands. In addition to your research contributions, you will contribute to and learn from best practices in the autonomy and robotics industries within our fast-paced and customer-focused culture. Improvements deployed to our system immediately help our customers with their programs and deliver value to our business. AT APPLIED INTUITION, YOU WILL: - Conduct research on pretraining world-action foundation model with various world modalities including vision and physics associated with ego actions, serving the purpose for both robot action and simulation world generation. - Diving into relevant topics such as vision-physics modality association, feed-forward Gaussian splatting, world foundation model, human data incorporation, language modality, and spatial reasoning, deformable object modeling and simulation. - Work closely with the Research Scientists and Engineers on high quality research publications for submission to top-tier conferences WE’RE LOOKING FOR SOMEONE WHO HAS: - Strong research background and skills on relevant topics, and the ability to work both independently and collaboratively on projects - Current PhD (or MSc) studies in machine learning, computer vision and graphics, robotics - 1+ year of research experience in autonomy, self-driving, or related field - Passion for next-generation, scalable autonomy and robotics 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 Engineer - Robotic Hardware, Simulation a...
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 AND TEAM We are looking for a passionate Research Engineer to join the Research Group at Applied Intuition. The mission of the group is to create cutting-edge technology enabling next-generation physical AI, with emphasis on the two most challenging applications reshaping our everyday life: end-to-end autonomous driving and robotic generalist. We have a group 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. Supported by industry-leading tools and infra, researchers can access millions of miles of data from large fleets, and deploy methods they develop into various autonomous and robotic systems including self-driving cars/trucks, autonomous mining/construction machines, humanoid robots and dexterous hands. In addition to your research contributions, you will contribute to and learn from best practices in the autonomy and robotics industries within our fast-paced and customer-focused culture. Improvements deployed to our system immediately help our customers with their programs and deliver value to our business. We are open to all years of experience as long as the necessary requirements are met, including those with potential Tech Lead and Manager capacity. AT APPLIED INTUITION, YOU WILL: - Support the team for robotic and data collection hardware set up, and design the mechatronic system for customized demands - Construct robotic simulation environments at scale and use it for RL training - Process human data for robotic use cases - Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences - Collaborate with our engineering teams on ADAS, data, and simulation to deploy end-to-end algorithms for mass production vehicles, and neural simulation/generation for tools supporting autonomy development WE’RE LOOKING FOR SOMEONE WHO HAS: - Hands-on experience in at least one of the following fields - Humanoid, general robotics and human data collection hardware experiences (both utilization and design) - Large-scale robotic simulation construction, deformable object simulation, and its utilization in RL training - Human data processing, retargeting, pose estimation, SLAM - Passion for next-generation, scalable autonomy and robotics for real-world systems - Strong engineering and research skills and the ability to work both independently and collaboratively on projects - Technical experience in: Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training - Masters or PhD in machine learning and computer vision with autonomy and robotics applications or closely related field - 1+ year of experience in autonomy and robotics applications or closely related field NICE TO HAVE: - Passion for building and shipping customer-focused software frameworks or tool 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!
ML Runtime Optimization 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 deep experience in optimizing ML models and deploying them on production-grade embedded runtime environments. You’ll work across the entire ML framework stack (e.g. PyTorch, JAX, ONNX, TensorRT, CUDA, XLA, Triton). AT APPLIED INTUITION, YOU WILL: - Drive ML performance optimization on multiple technologies for on-road and off-road ADAS / AD stacks targeting deployment on a variety of embedded compute platforms - Develop compute usage strategies to optimize efficiency and latency of model inference for compute boards selected by our customers - Work on model pruning and quantization, and support deployment on memory constrained platforms - Collaborate closely with ML engineers and software developers on technical efforts to find and optimize efficient model architecture solutions - Set up methodologies to profile the model performance on target embedded compute platforms and identify performance bottlenecks as part of stack integration WE'RE LOOKING FOR SOMEONE WHO HAS: - Bachelors in Electrical Engineering or Computer Science, OR B.Sc. in Computer Science, Mathematics, Physics or a related field - 3+ years of experience with ML accelerators, GPU, CPU, SoC architecture and micro-architecture - Strong software development skills with the focus on embedded programming - Experience profiling and optimizing model performance on embedded compute platforms - Experience in working with deep learning frameworks (e.g., PyTorch, JAX, ONNX, etc.) NICE TO HAVE: - M.Sc or PhD in a ML related area - Built an ML optimization framework from scratch before - Deployed ML solutions to embedded chips for real time robotics applications 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!
Machine Learning Engineer - Behavior and Planning
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 Machine Learning Engineer with expertise in ML-first behavior prediction and planning. You will develop ML-first behavior modules that can predict the future trajectories and behaviors of road users and predict their interactions. You will work closely with the perception team on areas such as training data generation, and with the planning team on ML-based planner development. You will also have the opportunity to collaborate with our research teams on state-of-the-art architectures and techniques. Your work will have a tangible impact, deployed across diverse domains including passenger vehicles, trucking, and mining. 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 we 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! AT APPLIED INTUITION, YOU WILL: - Prototype, evaluate, refine, and deploy state-of-the-art ML algorithms that generate driving trajectories for autonomous vehicles and other road users in the scene - Leverage established products at Applied Intuition to build the software and infra foundation for behavior-specific ML development - Collaborate with perception and planning engineers as well as research teams on cross-team state-of-the-art models and techniques WE’RE LOOKING FOR SOMEONE WHO HAS: - Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field - Expertise in at least one of the following subdomains: modeling, input pipelines, evaluation, deployment, or model optimization. - Experience with the end-to-end development cycle of deep learning models - 2+ years of experience building production software using modern software practices - Fluency in Python with intermediate experience in C++ NICE TO HAVE: - Peer-reviewed research at machine learning conferences like NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV, IROS, or ICRA. - Experience with driver assistance or autonomous driving systems - Experience in evaluating and improving system-in-the-loop model performance 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. Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $150,000 - $260,000 USD annually. 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!
Engineer Manager - Perception, Self-Driving System...
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 builds the software infrastructure for autonomous vehicles across passenger cars, trucking, mining, and defense. Our Self-Driving Systems (SDS) team develops production-grade autonomy stacks deployed on real vehicles across multiple continents, from highway trucking in Japan to urban ADAS in the United States and Europe. We are looking for a Technical Lead Manager to own the perception model at the core of our autonomy stack. This is a single combined model: shared backbone, multi-task heads, serving every SDS program from the same codebase. The same model runs on a passenger car in Los Angeles, a truck in rural Japan, and an offroad vehicle in the Philippines. Different sensor configurations, different road geometries, different weather distributions, one model. You will lead the team that trains, evaluates, and ships this model, and you will be hands-on in the architecture and training decisions that drive its performance. AT APPLIED INTUITION, YOU WILL: - Own the perception model end-to-end: architecture, training, evaluation, and deployment. The core challenge is building a model that generalizes across geographies, road types, sensor setups, and environmental conditions without per-vertical forks. - Drive a camera-first perception strategy. The goal is to progressively reduce dependencies on HD maps and lidar. How to get there is part of the job. - Lead training and iteration cycles hands-on. You will be in the data, the eval dashboards, and the failure analysis. When perception regresses in a new geography or road type, you own understanding why and fixing it. - Own model performance across the full deployment surface: highway, urban, residential, ramps, complex intersections, poor weather, hilly terrain. You care about on-vehicle driving outcomes, not just offline metrics. - Manage the model lifecycle from training through quantization and deployment on embedded compute, including device-specific optimizations. Close the gap between what the model does offboard and what it does on the vehicle. - Work directly with OEM customer programs to understand sensor configurations, target ODDs, and performance requirements. Translate these into model architecture and data strategy. - Recruit, develop, and technically lead a team of perception engineers. Set high technical standards and create a culture of rigorous experimentation and measurement. WE’RE LOOKING FOR SOMEONE WHO HAS: - Bachelors degree in any field, or equivalent combination of education and work experience. - 5+ years in ML/deep learning for perception or 3D scene understanding. Deep hands-on experience training and deploying vision models at scale. - 2+ years managing a perception team, with ability to both set direction and contribute to architecture and training decisions directly. - Experience building production perception systems, especially camera-only or camera-first solutions. - Track record deploying perception models to embedded hardware under real-time latency and compute constraints, including device-specific optimizations. - Strong software engineering in Python and C++, comfortable across the stack from training code to onboard inference integration. - Experience scaling perception models across multiple geographies, sensor setups, or vehicle platforms. NICE TO HAVE: - Deep familiarity with transformer-based architectures for 3D perception, BEV representations, multi-task learning, and dense prediction. - Familiarity with occupancy-based scene representations, sparse query-based architectures, or temporal aggregation approaches. - Experience reducing or removing map dependencies in perception systems. - Background in autolabel pipelines, data quality monitoring, or data flywheel design for perception. - Experience with closed-loop simulation for perception model evaluation (neural sim, log sim, scenario-based testing). - Experience at an AV company that has shipped perception to production. 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!
Embedded AI Engineer – Android Automotive (On-Devi...
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 building on-device intelligence for a next-generation Android Automotive platform. This role owns the end-to-end lifecycle of embedded ML systems, ensuring models behave predictably and safely in production environments under real-world constraints such as latency, thermal limits, and functional safety. AT APPLIED INTUITION, YOU WILL: - Deploy and run production-grade ML inference and learning systems on Android Automotive (AAOS) - Implement on-device multimodal LLMs, including schema design and safe dispatch to local vehicle APIs - Integrate models using TensorFlow Lite, ONNX Runtime, or specialized vendor SDKs - Profile and optimize models for strict latency, memory, power, and thermal budgets - Instrument runtime performance across CPU, GPU, and NPU acceleration layers - Design safety boundaries and guardrails for model outputs, including tool-call allowlists and fallback logic - Interface directly with vehicle signals, sensors, and system services using C++ and JNI WE’RE LOOKING FOR SOMEONE WHO HAS: - BS, MS, or PhD in Computer Science, Electrical Engineering, or a related technical field - 3+ years of experience shipping ML inference on embedded, mobile, or automotive platforms - Strong proficiency in C++ and experience with native Android integration (JNI) - Expertise in model optimization techniques such as quantization, pruning, and compilation - Experience integrating LLM function calling or tool execution with structured outputs - Hands-on experience with Android system services or Android Automotive OS (AAOS) - Deep understanding of edge constraints including real-time behavior and memory pressure NICE TO HAVE: - Experience with Snapdragon Automotive, ARM Ethos, or specialized NPU pipelines - Background in running quantized LLMs on-device using llama.cpp or TFLite transformers - Familiarity with functional safety concepts (ISO 26262), sandboxing, or policy enforcement - Experience bridging cloud-trained models to resource-constrained embedded runtimes 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. 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, Perception
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 The Tactical Recon & Strike team at Anduril develops aerial small drones (Group 1-3) and all equipment to test, deploy and operate. The team is responsible for taking products like Ghost, Anvil, Bolt and Altius from concepts to operational systems. We work in close coordination with specialist teams to solve some of the hardest problems facing our customers. We are looking for software engineers, hardware engineers, roboticists, and front-end mobile developers who are excited about creating a powerful robotics platform that can be tasked and viewed in real-time through a variety of interfaces. ABOUT THE JOB We are seeking Software Engineers specializing in Computer Vision and Machine Learning Engineering. You will leverage cutting-edge research to solve our most challenging perception problems for our UAVs, bringing deep expertise in Object Detection, Object Tracking, or related perception domains. This role requires hands-on proficiency in C++ and/or Python within a Linux environment. If you are passionate about tackling complex technical challenges in computer vision and perception, we encourage you to apply. This position will be located at our headquarters in Costa Mesa, CA (relocation benefits provided). WHAT YOU’LL DO - Propose and prototype innovative solutions to solve real world problems, leveraging the latest state-of-the-art techniques in the field. - Develop and maintain core libraries and runtime applications. - Integrate classical and geometric methods in computer vision with ML methods. - Work with ML and Data Infra team to construct various benchmarks for analyzing system performance. REQUIRED QUALIFICATIONS - MS or PhD in Machine Learning, Robotics or Computer Science, with emphasis on Computer Vision. - BS in Computer Science, Machine Learning, Electrical Engineering, or related field. - 2+ years experience developing and benchmarking ML algorithms on large-scale datasets. - High proficiency in C++ development in a Linux environment. - Experience deploying models with TensorRT and ONNX. - Experience with Python development and deep learning frameworks such as PyTorch and TensorFlow. - Experience writing and maintaining automated continuous integration tests. - Experience in one or more of the following: - Object Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic change Detection. - Experience in one or more of the following: - Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, RGB-D and LIDAR Sensor Fusion. - Eligible to obtain and maintain an active U.S. Secret security clearance. PREFERRED QUALIFICATIONS - Experience troubleshooting and analyzing remotely deployed software systems. - Proficient in Python. - Proficient in CUDA. 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.
Senior Software Engineer, Perception
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 The Tactical Recon & Strike team at Anduril develops aerial small drones (Group 1-3) and all equipment to test, deploy and operate. The team is responsible for taking products like Ghost, Anvil, Bolt and Altius from concepts to operational systems. We work in close coordination with specialist teams to solve some of the hardest problems facing our customers. We are looking for software engineers, hardware engineers, roboticists, and front-end mobile developers who are excited about creating a powerful robotics platform that can be tasked and viewed in real-time through a variety of interfaces. ABOUT THE JOB We are seeking Senior Software Engineers specializing in Computer Vision and Machine Learning Engineering. You will leverage cutting-edge research to solve our most challenging perception problems for our UAVs, bringing deep expertise in Object Detection, Object Tracking, or related perception domains. This role requires hands-on proficiency in C++ and/or Python within a Linux environment. If you are passionate about tackling complex technical challenges in computer vision and perception, we encourage you to apply. This position will be located at our headquarters in Costa Mesa, CA (relocation benefits provided). WHAT YOU’LL DO - Propose and prototype innovative solutions to solve real world problems, leveraging the latest state-of-the-art techniques in the field. - Develop and maintain core libraries and runtime applications. - Integrate classical and geometric methods in computer vision with ML methods. - Work with ML and Data Infra team to construct various benchmarks for analyzing system performance. REQUIRED QUALIFICATIONS - MS or PhD in Machine Learning, Robotics or Computer Science, with emphasis on Computer Vision. - BS in Computer Science, Machine Learning, Electrical Engineering, or related field. - 4+ years experience developing and benchmarking ML algorithms on large-scale datasets. - High proficiency in C++ development in a Linux environment. - Experience deploying models with TensorRT and ONNX. - Experience with Python development and deep learning frameworks such as PyTorch and TensorFlow. - Experience writing and maintaining automated continuous integration tests. - Experience in one or more of the following: - Object Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic change Detection. - Experience in one or more of the following: - Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, RGB-D and LIDAR Sensor Fusion. - Eligible to obtain and maintain an active U.S. Secret security clearance. PREFERRED QUALIFICATIONS - Experience troubleshooting and analyzing remotely deployed software systems. - Proficient in Python. - Proficient in CUDA. 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.
Senior Radar DSP Systems Engineer, EW
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 - Design and implement algorithms and techniques for RADAR systems - Develop Modeling and Simulation (M&S) code for RADAR techniques and data analysis including Hardware-in-the Loop / Software-in-the-loop (HIL/SIL) testing - Guide DSP engineers in the execution of RADAR-DSP trade studies and optimization of signal processing and machine learning algorithms for deployment on FPGAs and GPUs. - Participate in laboratory and field testing of RADAR-EW systems and techniques - Participate in the maturation of RADAR-EW systems into deployable systems and products REQUIRED QUALIFICATIONS - Experience with Electronic Warfare systems. - Experience with DSP algorithms and technique development for RADAR- Electronic Support Measures (ESM) and Electronic Counter Measure (ECM) systems. - Strong experience with DSP implementation for embedded devices and/or software defined radios. - Skilled with Modeling and Simulation of RF systems including Radar and SAR - Strong knowledge of Python and MATLAB. - 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). - Some travel required. - Currently possesses and is able to maintain an active U.S. Secret/Top Secret security clearance. PREFERRED QUALIFICATIONS - Masters or PhD degree in Electrical, Electronics, Computer Engineering, or related fields. - Experience with CUDA or GPU accelerated frameworks like cuSignal. - Familiar with deep learning algorithms. Experience with ML frameworks such as TensorFlow and PyTorch is a plus. - Experience with embedded devices, including FPGA, Nvidia Jetson, and Software Defined Radios. - 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.
Senior Quality Engineer, Applied AI
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 CorpTech Platform is the internal engineering force multiplier behind Anduril’s corporate systems. It drives CorpTech engineering forward through strategic investment in data platforms, software platforms, QA and release excellence, ERP engineering, and AI infrastructure. We build the foundations that power both CorpOS, enabling Finance and Growth to operate with speed and precision, and ArsenalOS, the digital backbone of Anduril’s hardware enterprise. By unifying systems, accelerating development velocity, and embedding intelligence into every layer, CorpTech Platform transforms how the company operates end to end. We are also driving Anduril toward becoming an autonomous enterprise. Through initiatives like the Autonomous Software Factory, we are rethinking how software is built, tested, deployed, and evolved by integrating AI directly into the engineering lifecycle. This is not a support function. It is a strategic engine. CorpTech Platform is how Anduril scales its business systems with the same rigor, speed, and adaptability as its mission critical products. WHAT YOU'LL DO - Act as the quality and reliability lead within a small, senior AI development pod focused on solving novel, high-impact business and engineering problems. - Design and implement test strategies, validation approaches, and release readiness criteria for AI-enabled software, automation, and agentic workflows. - Partner closely with software and AI engineers to identify failure modes early across code, prompts, models, integrations, infrastructure, and user workflows. - Build confidence in fast-moving solutions through automated testing, observability, instrumentation, environment design, and operational safeguards. - Help define practical standards for reliability, resiliency, debugging, and production operations in an AI-first development model. - Contribute directly in code, infrastructure, and tooling where needed to improve delivery confidence, developer feedback loops, and production stability. - Support launch readiness, production issue response, root cause analysis, and continuous improvement for front-facing systems delivered by the pod. - Evangelize strong engineering discipline in areas such as quality assurance, release engineering, infrastructure hygiene, and incident prevention without sacrificing speed. REQUIRED QUALIFICATIONS - 5+ years of experience in software engineering, site reliability engineering, quality engineering, infrastructure engineering, or a closely related role in a fast-paced environment. - Demonstrated experience building or operating reliable production software systems, including ownership of testing, observability, deployment confidence, and operational readiness. - Strong technical fluency in modern software architectures, APIs, distributed systems, CI/CD, and cloud or platform infrastructure. - Experience working with frontier AI tooling, AI coding assistants, LLM-enabled applications, or agentic systems, including awareness of the unique quality and reliability challenges these systems introduce. - Ability to move between hands-on implementation and systems-level quality strategy, with sound judgment on where rigor is required versus where speed is appropriate. - Strong debugging, root cause analysis, and incident response instincts, with a bias toward preventing classes of failures rather than repeatedly reacting to them. - Excellent written and verbal communication skills, with the ability to influence senior engineers and cross-functional stakeholders on quality and reliability trade-offs. - Degree in Computer Science, Information Systems, Engineering, or related technical field, or equivalent practical experience. - U.S. Person status is required as this position needs to access export controlled data. PREFERRED QUALIFICATIONS - Experience supporting AI-first or AI-accelerated software development teams, including designing quality controls around non-deterministic system behavior. - Experience with automated testing strategies spanning unit, integration, end-to-end, performance, and reliability testing for complex software products. - Experience with infrastructure as code, cloud platforms, observability stacks, release engineering, and production operations. - Experience in hyper growth startup-like environments, with demonstrated success balancing speed, ambiguity, and engineering rigor. - Familiarity with enterprise systems and business process domains such as ERP, MES, WMS, CRM, finance systems, or manufacturing systems. - Eligible to obtain and maintain a U.S. Secret security 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.
Senior Machine Vision Engineer, Manufacturing Auto...
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 Senior 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: Design and implement machine vision systems for industrial automation, quality inspection, defect detection, and process monitoring - Hardware Procurement: Specify, procure, validate, and sustain core vision components including cameras, lenses, lighting, controllers, and software - Deployment & Commissioning: Oversee the installation, validation, and commissioning of vision systems across multiple production lines - Project Leadership: Lead technical projects, mentor junior engineers, and collaborate cross-functionally to integrate high-precision inspection systems - Root Cause Analysis: Drive Root Cause Corrective Action (RCCA) investigations for vision system errors and process failures - Training & Support: Mentor junior engineers and train production staff in daily operation, troubleshooting, and maintenance of vision equipment to elevate team technical capabilities REQUIRED QUALIFICATIONS - Education: Bachelor’s, Master’s, or Ph.D. in Electrical Engineering, Computer Science, Physics, Robotics, or a related discipline. - Experience: 5+ years of hands-on industry experience building, deploying, and maintaining machine vision systems in a manufacturing environment. - Vision Platforms: Direct experience with industrial hardware ecosystems like Cognex, Keyence, Basler, or Sick. - Libraries & Frameworks: Proficiency with core vision and deep learning software including OpenCV, Halcon, PyTorch, or TensorFlow. - Programming: Strong coding skills in Python, C#, or C++. - Optics & Physics: Deep understanding of camera selection, lens optics, resolution, lighting techniques, and sensor calibration. - Automation Integration: Direct experience interfacing vision systems with industrial controls like PLCs and robotics. - Inspection Methods: Mastery of classical rules-based tools, advanced defect detection, AI-based vision, and SPC methodologies. PREFERRED QUALIFICATIONS - Smart Manufacturing: Experience with Industry 4.0 standards, factory automation software, and IIoT protocols such as IO-Link, MQTT or OPC UA. - Software Practices: Familiarity with modern development workflows, including Git version control and CI/CD pipelines. - 3D Vision: Experience with 3D imaging techniques like structured light, time-of-flight (ToF), or stereo vision for robotic guidance and inspection. - Security Clearance: Possession of an active Secret or Top-Secret security 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.
Senior AI Infrastructure Engineer, Physical Infras...
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 CorpTech Infrastructure Engineering builds and operates the foundational infrastructure that powers Anduril at large. We give engineers, researchers, and product teams across the company a place to deploy fast, scalable infrastructure without having to become infrastructure experts themselves. As Anduril's AI and autonomy ambitions grow, our team is responsible for delivering the next generation of compute, networking, and storage capabilities that make cutting edge model training and inference possible company wide. ABOUT THE JOB We’re looking for a Senior AI Infrastructure Engineer to lead the vision, execution, and long-term stability of how Anduril trains with GPUs at scale. In this role, you will take absolute ownership of cluster robustness, ensuring our high-performance GPU systems are highly available, fault-tolerant, and resilient for ML platform and research teams company-wide. This is a highly hands-on role where your primary focus is logical stability and automated resilience—building self-healing mechanisms to proactively detect and isolate hardware faults, tuning NCCL and high-speed networking, and optimizing Kubernetes, Run:AI, and Ray scheduling. By replacing manual triage with automated deployment tooling and deep observability, you will ensure our massive-scale training infrastructure runs seamlessly and scales without linear headcount growth. WHAT YOU'LL DO - Rack, stack, cable, and bring up GPU compute (H200/B200/B300, NVL72) including physical topology, power, cooling, firmware/BIOS, and burn in validation. - Build and tune the interconnect fabric (NVLink, InfiniBand, RoCE, Spectrum-X) connecting hundreds of GPUs into low latency training and inference clusters. - Integrate high performance parallel storage (VAST, DDN, Weka) to sustain the throughput demanded by distributed training and terabyte scale multi modal datasets across Anduril's programs. - Automate cluster deployment and configuration end to end, including infrastructure as code for bring up, firmware/driver management, and fabric config, so new capacity comes online with minimal manual work. - Operate and extend our Kubernetes/Run:AI environment for GPU scheduling, quota management, and multi tenant workload isolation across research and engineering teams company wide. - Own fleet health: monitoring, alerting, and rapid triage of hardware and network faults (bad transceivers, GPU Xid errors, NCCL/collective failures, RoCE congestion). - Onboard engineers and researchers onto the platform and act as their escalation point, working directly alongside them to debug, train, and optimize their workloads whenever infrastructure, not the model, is the bottleneck. - Partner with product facing teams across Anduril to understand emerging compute needs and translate them into platform capability. REQUIRED QUALIFICATIONS - 10+ years in a hands on infrastructure, HPC, or datacenter engineering role supporting GPU compute at scale. - Hands on experience with H200/B200/B300 (or comparable) GPU systems: bring up, cabling, firmware/driver management. - Experience with high performance interconnects (NVLink, InfiniBand, RoCE, Spectrum-X) in clusters of hundreds of GPUs. - Experience with high performance parallel storage (VAST, DDN, Weka, Lustre, or similar). - Kubernetes required; Run:ai or similar GPU scheduling/orchestration experience strongly preferred. - Strong automation background. You build repeatable, automated deployment pipelines rather than manual processes. - Able to lift/move 50+ lbs and perform physical datacenter work (rack/stack/cable/troubleshoot). - Eligible to obtain and maintain an active U.S. Top Secret clearance. PREFERRED QUALIFICATIONS - Experience with NVIDIA NVL72 rack scale systems. - Experience supporting LLM token serving/inference infrastructure alongside training clusters. - Network fabric tuning experience (congestion control, adaptive routing, QoS) for RoCE/InfiniBand at scale. - Familiarity with GPU/network observability tooling (DCGM, fabric telemetry) and automated fault detection. - Experience supporting infrastructure as a shared platform serving multiple internal customer teams with differing requirements. US Salary Range $166,000 - $220,000 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.
Applied LLM Systems 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. Team Overview Anduril’s Technical Publications organization supports complex hardware, software, autonomy, and defense systems across multiple divisions, business lines, and programs. The Product Manager, Technical Writing Systems, owns the authoring and publishing platform. This role builds the AI systems that extend that platform so the documentation pipeline handles more work at lower cost and lower latency. Role Specifics As the Applied LLM Systems Engineer, your mission is to design, build, and operate production AI systems that improve how technical documentation is created, transformed, validated, maintained, and delivered. You will build and maintain AI-assisted authoring, automated publishing, and multi-agent coordination tooling for the Technical Publications pipeline. This is not a prompt-writing role. It is a systems-engineering role for someone who has already delivered production AI systems, understands evaluation and rollback, and knows how to make probabilistic systems useful in enterprise environments with structured content, strict review requirements, security boundaries, and real operational consequences. The right candidate can expand system capability while managing token usage, context efficiency, and cost at scale. What You’ll Do - Build production-grade LLM applications for documentation and knowledge-work workflows. - Design orchestration for multi-step workflows that coordinate models, tools, and deterministic services safely. - Optimize context management, token usage, caching, and workflow design for cost, latency, and task success. - Build retrieval, structured-output, and tool-integrated systems that safely interact with enterprise content, source control, issue tracking, and documentation systems. - Design evaluation frameworks and regression testing for prompts, models, tools, retrieval pipelines, and end-to-end workflows. - Establish observability, auditability, rollback, and safe failure modes for AI-assisted workflows. - Work directly with technical writers, illustrators, engineers, and documentation leadership to identify the highest-value places to apply AI and where human judgment should remain primary. - Preserve provenance between source material, generated output, validation results, and human decisions so outputs remain reviewable, correctable, and attributable. Required Qualifications - 5+ years of professional software engineering experience, including building and operating production services. - Direct experience delivering at least one production AI system with measurable adoption by its intended users. - Experience optimizing cost, latency, and context usage in production LLM or workflow systems. - Experience designing evaluation, observability, rollback, and failure-handling for nondeterministic systems. - Strong proficiency in Python and modern API, data, and service-development practices, including software architecture, security boundaries, identity and access management, and data protection. - Sound judgment about where probabilistic AI is appropriate and where deterministic software or human review is required. - Must be eligible for Secret and higher security clearance (US). - In this role, you will be subject to pre-employment and randomized substance screening, as required by the Company. Preferred Qualifications - Experience designing multi-step orchestration or coordination systems across models, tools, and deterministic services. - Experience with retrieval-augmented generation, structured outputs, tool calling, or other production LLM workflow patterns. - Experience integrating AI capabilities into desktop or enterprise applications with limited native APIs. - Experience in defense, aerospace, manufacturing, robotics, autonomy, aviation, or another regulated environment. - Familiarity with technical documentation, structured authoring, content management, or comparable documentation-heavy workflows. - Familiarity with S1000D, DITA, MIL-STD-40051, or comparable documentation frameworks. - Experience with containerized services, cloud infrastructure, CI/CD, queues, event-driven architectures, or production monitoring. 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.
AI Systems 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. Team Overview Anduril’s Technical Publications organization supports complex hardware, software, autonomy, and defense systems across multiple divisions, business lines, and programs. The Product Manager, Technical Writing Systems, owns the authoring and publishing platform. This role builds the AI systems that extend that platform so the documentation pipeline handles more work at lower cost and lower latency. Role Specifics As the Applied LLM Systems Engineer, your mission is to design, build, and operate production AI systems that improve how technical documentation is created, transformed, validated, maintained, and delivered. You will build and maintain AI-assisted authoring, automated publishing, and multi-agent coordination tooling for the Technical Publications pipeline. This is not a prompt-writing role. It is a systems-engineering role for someone who has already delivered production AI systems, understands evaluation and rollback, and knows how to make probabilistic systems useful in enterprise environments with structured content, strict review requirements, security boundaries, and real operational consequences. The right candidate can expand system capability while managing token usage, context efficiency, and cost at scale. What You’ll Do - Build production-grade LLM applications for documentation and knowledge-work workflows. - Design orchestration for multi-step workflows that coordinate models, tools, and deterministic services safely. - Optimize context management, token usage, caching, and workflow design for cost, latency, and task success. - Build retrieval, structured-output, and tool-integrated systems that safely interact with enterprise content, source control, issue tracking, and documentation systems. - Design evaluation frameworks and regression testing for prompts, models, tools, retrieval pipelines, and end-to-end workflows. - Establish observability, auditability, rollback, and safe failure modes for AI-assisted workflows. - Work directly with technical writers, illustrators, engineers, and documentation leadership to identify the highest-value places to apply AI and where human judgment should remain primary. - Preserve provenance between source material, generated output, validation results, and human decisions so outputs remain reviewable, correctable, and attributable. Required Qualifications - Ability to work on-site in Santa Ana, CA. - 5+ years of professional software engineering experience, including building and operating production services. - Direct experience delivering at least one production AI system with measurable adoption by its intended users. - Experience optimizing cost, latency, and context usage in production LLM or workflow systems. - Experience designing evaluation, observability, rollback, and failure-handling for nondeterministic systems. - Strong proficiency in Python and modern API, data, and service-development practices, including software architecture, security boundaries, identity and access management, and data protection. - Sound judgment about where probabilistic AI is appropriate and where deterministic software or human review is required. - Must be eligible for Secret and higher security clearance (US). - In this role, you will be subject to pre-employment and randomized substance screening, as required by the Company. Preferred Qualifications - Experience designing multi-step orchestration or coordination systems across models, tools, and deterministic services. - Experience with retrieval-augmented generation, structured outputs, tool calling, or other production LLM workflow patterns. - Experience integrating AI capabilities into desktop or enterprise applications with limited native APIs. - Experience in defense, aerospace, manufacturing, robotics, autonomy, aviation, or another regulated environment. - Familiarity with technical documentation, structured authoring, content management, or comparable documentation-heavy workflows. - Familiarity with S1000D, DITA, MIL-STD-40051, or comparable documentation frameworks. - Experience with containerized services, cloud infrastructure, CI/CD, queues, event-driven architectures, or production monitoring. 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.
Senior Product Manager, Perception & World Underst...
Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential. About Us Agility Robotics is a pioneer. Our humanoid robot, Digit, is the first to be sold into workplaces across the globe. Our team is differentiated by its expertise in imagining, engineering, and delivering robots with advanced mobility, dexterity, intelligence, and efficiency -- robots specifically designed to work alongside people, in spaces built for people. Every day, we break through engineering challenges and invent new solutions and capabilities that will one day make humanoid robots commonplace and approachable. This work is our passion and our responsibility: our mission is to make businesses more productive, and people’s lives more fulfilling. About The Role Agility Robotics is looking for a Senior Product Manager to lead product strategy and development for Digit's perception and learned capabilities. This is a highly technical product role at the intersection of robotics, artificial intelligence, perception, and real-world autonomous behavior. You will be responsible for defining what Digit must understand about its environment, how world understanding should improve the robot's ability to perform useful work, and how those capabilities are evaluated and matured for production use. You will partner closely with perception, machine learning, robotics, autonomy, simulation, and software engineering teams while working across the broader Product organisation to translate customer and application needs into scalable robot intelligence capabilities. The role requires the ability to bridge emerging AI and robotics technologies with real product outcomes. You will help determine which capabilities should be developed, what level of performance is required, how progress should be measured, and when a capability is ready to become part of the production product. Key Responsibilities - Own the perception and world understanding capabilities roadmap: Define the product strategy, priorities, and roadmap for perception-enabled and learned robot capabilities required to support Digit's expanding application portfolio. - Define capability outcomes: Translate customer workflows and application requirements into clear requirements for perception, scene understanding, object understanding, learned behaviors, adaptation, motion planning and other AI-enabled robot capabilities. - Establish performance metrics: Define product-level metrics and evaluation criteria for perception and learned capabilities, including accuracy, robustness, generalization, latency, failure behavior, and operational performance. - Drive capability maturity: Establish expectations for progressing capabilities from research or prototype stages through validation, productization, and production deployment. - Bridge AI technology and product needs: Partner with AI Models & Tools Product and Engineering teams to translate product capability needs into requirements for underlying models, datasets, training systems, tooling, and infrastructure. - Drive generalisation: Identify when capabilities should move beyond narrow task-specific implementations toward reusable models and behaviors that work across objects, environments, customers, and applications. - Partner deeply with technical teams: Work closely with robotics, perception, machine learning, autonomy, simulation, and systems engineering teams to make product and technical trade-offs and ensure technical investments align with meaningful product outcomes. - Define evaluation strategy: Partner with Simulation, Systems, Engineering, and field teams to establish representative evaluation environments, test scenarios, datasets, and benchmarks for robot capability performance. - Manage cross-product dependencies: Coordinate requirements and roadmap dependencies across task skills, robot software, hardware, simulation, infrastructure, customer applications, and deployment systems. - Inform long-term product strategy: Help shape Agility's longer-term robot intelligence strategy by identifying where advances in AI and robotics can unlock meaningful new product capabilities and customer value. - Communicate product direction: Clearly articulate product priorities, technical trade-offs, capability maturity, and roadmap decisions to engineering leaders, executives, commercial teams, and other stakeholders. Key Qualifications - Bachelor’s degree in Robotics, Computer Science, Artificial Intelligence, Engineering, or a related technical field. Advanced degree strongly preferred. - 5+ years of Product Management or equivalent product leadership experience in robotics, autonomous systems, AI/ML, computer vision, or another deeply technical product environment. - Strong understanding of machine learning, perception, robotics, autonomous systems, or related technical domains. - Demonstrated ability to work effectively with highly technical engineering and research teams. - Experience translating ambiguous customer or product problems into measurable technical capability requirements. - Strong understanding of the distinction between technology performance and production product readiness. - Experience defining metrics, benchmarks, or evaluation frameworks for complex technical products. - Ability to evaluate technical trade-offs and communicate their product implications to both technical and non-technical audiences. - Demonstrated ability to operate across multiple teams and influence without relying on direct authority. - Strong strategic thinking combined with a willingness to engage deeply in product execution. - Excellent written and verbal communication skills. You May Have - Experience with computer vision, foundation models, reinforcement learning, imitation learning, learned policies, or multimodal AI systems. - Experience with manipulation or mobile robotics. - Experience taking machine learning or robotics capabilities from research through production deployment. - Experience with simulation, synthetic data, evaluation infrastructure, or large-scale robotics datasets. - Experience building products that must operate reliably under significant real-world variation. - Experience in warehouses, logistics, manufacturing, or other industrial environments. - Experience with humanoid robots or mobile manipulation platforms. - Advanced degree in Robotics, Computer Science, Machine Learning, Artificial Intelligence, or a related field. This is a hybrid role based out of our Fremont, CA office. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience. Agility Robotics is a multi-state employer and this salary range may not reflect positions who work in other locations. These ranges may be modified in the future. Anticipated Base Salary Range $186,000 - $242,000 USD In addition to base pay, our competitive total rewards package consists of the following for full-time employees: - 401(k) Plan: Includes a 6% company match. - Equity: Company stock options. - Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. - Benefit Start Date: Eligible for benefits on your first day of employment. - Well-Being Support: Employee Assistance Program (EAP). - Time Off: - Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown. - Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually. - On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. - Parental Leave: Generous paid parental leave programs. - Work Environment: A culture that supports flexible work arrangements. - Growth Opportunities: Professional development and tuition reimbursement programs. - Relocation Assistance: Provided for eligible roles. - Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.
Staff Software Engineer - Applied AI
ABOUT 1X We’re building humanoid robots that work in home - doing the chores, handling the tasks, and giving people their time back. Simple, but it’s not. To do this right, we have to solve robotics, AI, manufacturing - at the same time, at scale, in a form factor that has to be safe enough to live with your family. If you’re inspired by this, you’ll thrive here. We’ve been at this since 2014 and we’re at the point where the hard problems are behind us and the hard work is in front of us. NEO is our flagship - a home robot designed to move, learn, and operate in the real world alongside real people. We’re not demoing it - we’re shipping it. We’re excited to meet you, if this excites you. If you’ve spent your career working on problems that matter and want to see them actually reach the world - this is that moment. We’re scaling, we’re hiring with intention, and we need people who want to build something that will genuinely change how humans spend their time - safely creating abundance for all. ABOUT THE TEAM The Applied AI team owns all of the systems and services that integrate AI into the NEO platform including supporting data infrastructure for the World Model Lab. They ship platform APIs that allow our developers to collect data for fine-tuning, deploy inference at scale, and integrate AI elsewhere in the robot software stack. YOUR CHARTER Build platform APIs for high-quality training data for our new world model. This will involve APIs for data validation, auto-captioning/annotation, and validation. You’ll operate at high scale, support a wide variety of developers, and work closely with our internal World Model team to pretrain a new world model. You will also find opportunities to integrate AI in other systems elsewhere in the stack. KEY OUTCOMES - Design, build, and ship production features for AI world models, from data collection through inference - Build rigorous evaluation, data pipelines, and captioning APIs tightly integrated into simulators and robot hardware - Optimize systems for latency, cost, and quality - Work closely with world model researchers, product engineers, and customers to build systems that are reliable and easy to use - Stay current with new developments in AI and bring recommendations to the platform and research teams. KEY COMPETENCIES - Deep expertise building developer tooling, simulation platforms, or game engine infrastructure. - Strong systems thinking with experience designing scalable content pipelines and engineering workflows. - Experience creating easy to use tools that empowers developers, designers, or technical artists. - Excellent software engineering skills with a focus on performance, maintainability, and automation. - Comfortable driving technical direction across multidisciplinary teams in a fast-moving startup environment. MINIMUM REQUIREMENTS - 5+ years of software engineering experience, with a meaningful portion spent building and shipping ML- or AI-powered systems in production. - Strong programming skills in Python and JavaScript/TypeScript and proved experience building expandable, testable, and reliable software. - Hands-on experience with modern AI/ML, AI frameworks, and cloud deployment - Clear communication and collaboration to lead projects independently PREFERRED SKILLS - Experience with shipping AI/ML systems at high scale. - Contributions to open-source AI/ML projects or publications - Domain experience in robotics WHAT DOES A SUCCESSFUL 1X TEAM MEMBER LOOK LIKE: Team members at 1X who thrive here are builders. They move fast, own their work completely, and treat time like it’s the one thing you can’t get back - because it is. They say what they mean, finish what they start, and hold themselves to a standard before anyone has to ask. We push each other to be better, and we do it with honesty and respect. BENEFITS - Comprehensive medical, dental, and vision coverage - Generous paid time off, company holidays, and parental leave - 401(k) plan with company match (100% on the first 3% of contributions, 50% on the next 2%) - Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA) options - Commuter benefits (transit and parking) - Short-term and long-term disability, and life insurance - Employee Assistance Program (EAP) for mental health, financial, and personal support - Onsite snacks and catered lunches EQUAL OPPORTUNITY EMPLOYER 1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, justice system impact, or any other characteristic protected under applicable federal, state, or local law.
AI Scientist, BioMedical AI
About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London. About the Role We are looking for an AI Scientist to join our team at the intersection of machine learning and single-cell biology. This role will focus on developing and applying foundation models to large-scale perturb-seq and single-cell datasets to uncover new biological mechanisms and therapeutic opportunities. You will help design scalable ML architectures that can extract insight from high-dimensional perturbation data and integrate across multi-omic modalities. Key Responsibilities - Design, train, and refine foundation models tailored to perturb-seq and other single-cell datasets. Build pipelines for preprocessing, normalization, and integration of large-scale single-cell and perturbation data. - Apply ML/AI approaches to model cellular responses to perturbations and identify causal biological insights. - Collaborate with experimental biologists to align computational methods with experimental design and discovery goals. - Develop multimodal integration approaches across transcriptomic, epigenomic, and proteomic single-cell readouts. - Publish methods and results in top scientific journals and present at conferences. Qualifications - PhD or equivalent in Computational Biology, Computer Science, Bioinformatics, or related discipline. - Strong expertise in single-cell data analysis, particularly perturb-seq - Hands-on experience with foundation models or large-scale self-supervised learning (e.g., transformers, variational autoencoders). - Strong coding skills in Python, ML frameworks (PyTorch/TensorFlow), and single-cell analysis tools (Scanpy, Seurat). - Experience in developing scalable ML methods for large biological datasets. Preferred - Background in causal inference, generative models, or representation learning for biological systems. - Familiarity with multi-omics integration and cross-modal foundation models. - Track record of impactful publications in computational biology, machine learning, or related fields. Compensation We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $212,000 - $265,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience. Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end. TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.
Staff Tech Lead, Perception, Pre-training & Distil...
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world In this role you will report to a Sr Staff Technical Lead Manager. You will: - Train multi-billion parameter spatio-temporal foundation models on multi-billion frame data sets. - Deliver pre-trained models for production usage, ideally for usage in real-time systems. - Develop self-supervised learning, including image/video encoder, 3D point cloud encoder, spatio-temporal reconstruction or future prediction, and vision-language contrastive learning. - Develop multi-teacher distillation recipes. - Develop methods to understand and evaluate the quality of latent representations from pre-training. Collaborate with the post-training team to ensure pre-training delivers the world knowledge representation needed for the multitude of post-training tasks. - Develop methods to curate and effectively use diverse datasets in training. - Be a key contributor to technical roadmaps. You have: - MS or PhD in Computer Science or a similar discipline, or an equivalent amount of deep learning experience - 5+ years experience in Machine Learning and/or Computer Vision - Fluent in Python - In-depth experience with ML frameworks like PyTorch or JAX We Prefer: - Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, PAMI - Experience with C++ - Experience with real-time system design The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000 - $310,000 USD
Staff Tech Lead, ML Data Infrastructure and Infere...
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The ML Data Infrastructure and Inference Platform team owns the Data as well as the Data infrastructure for all ML Flywheels at Waymo. We do this via a planet scale centralized feature store for all ML training and evaluation, the feature extraction framework as well the inference platform for generating the data via bulk and online inferences. The objective of the team is to deliver data necessary for all our onboard as well Foundation Models to make the ML Flywheel successful and in turn lead to the successful scaling of Waymo. The team is highly collaborative and closely works with all modeling teams within Waymo. You will: - As a Tech Lead you’ll build, lead and contribute to Waymo’s ML data infrastructure platform to enable planet scale ML Flywheel for all ML models at Waymo via data store and data infra ecosystem. - Work closely with teams across Waymo both onboard & offboard Foundation models, to understand the data infra needs, data distributions, data quality, data value, freshness and onboard these flywheels onto our planet scale data store and ensure the seamless adoption and guide the development of our infra components. - You will closely lead, mentor and guide a team of engineers to build and onboard teams to the infrastructure efficiently. - The team has a large surface area and scope in terms of impact, cross team collaboration and direct interaction with ML models at Waymo. You have: - 6+ years of professional experience in the field of software engineering - Experience tech leading projects with high cross team collaboration - Experience tech leading a team of engineers on complex projects - Experience in programming C++ - Experience with building highly scalable distributed system - Experience with ML Data and ML Flywheels We prefer: - Passionate about Data and building ML infra & tools - Experience Tech leading projects, cross functional projects - Experience with handling large datasets in the order of exabytes - Experience building machine learning infrastructure and model hosting / inference infrastructure - Experience with production services with high QPS. LI-Hybrid The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000 - $310,000 USD
Staff Machine Learning Engineer, Simulation Realis...
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Simulation Team at Waymo builds state-of-the-art simulations of realistic environments for testing and training the Waymo Driver. Our team is a diverse, and collaborative group of software engineers, machine learning (ML) engineers, and data scientists. We develop industry-leading simulation solutions using advanced ML algorithms that measure and enhance the performance of the Waymo Driver. By applying machine learning, we model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, and weather conditions. A key aspect of our simulation effort is the generation of foundational data that enables realistic simulation and trustworthy evaluations. This involves producing high-fidelity world representations from complex, large-scale multi-modal sensor datasets. Key challenges we tackle include guaranteeing the highest levels of quality and accuracy in these datasets. We are also constantly innovating to build scalable and efficient systems to manage the sheer volume and intricacy of this data. In this hybrid role, you will report to a Sr Staff TLM. You will: - Apply ML expertise to enhance the quality and accuracy of labeled data derived from multi-modal sensors. - Develop and implement models to identify and correct issues in perception-based data for simulation. - Analyze data quality, investigate anomalies, and drive improvements in our data labeling pipelines. - Collaborate with perception and simulation teams to refine data requirements and quality standards. - Lead efforts to address complex data quality challenges and define ML strategies for high-fidelity data generation. You have: - MS or BS in Computer Science or a related field. - 5+ (L5) / 7+ (L6) years of experience in applied Deep Learning/Machine Learning. - Strong background in computer vision, sensor fusion, or perception. - Proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch). - Experience with data analysis and quality assessment. - Strong coding and design skills. We prefer: - PhD degree in Computer Science or a similar discipline. - Experience with autonomous vehicle sensor data. - Familiarity with data labeling processes and challenges. - Experience taking ML models from research to production. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000 - $310,000 USD
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