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Product Manager, AI Quality
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: As Glean’s PM for Glean Model Hub, you will evaluate LLM models, define the roadmap for growing Glean’s LLM portfolio, manage relationships with inference and model providers, and determine product strategy for allowing customers to experiment with different LLMs. You will own projections of LLM usage, cost, and capacity planning while driving customer enablement and their upgrade adoption journey for the latest LLMs and LLM-native capabilities. You will: - Spending a lot of time with our customers to deeply understand their knowledge needs - Developing key parts of our product roadmap, marrying customers’ needs with our product vision - Empowering your team by giving context, setting direction, and building alignment - Driving customer-focused decisions, clear prioritization, and efficient execution - Coordinating cross-functionally with with leadership, go-to-market teams, and other key stakeholders across the company - Building processes that will scale as our team and company go through rapid growth About you: - You have 4+ years of experience in product management at SaaS companies, primarily serving large enterprises with responsibilities spanning AI/ML Ops and external-facing platform capabilities. - Having built or worked with LLMs for at-scale products is a major plus. - You have a strong technical background and experience with both UX and API driven products and 3rd party product partnerships. - You are an excellent written and verbal communicator. - You have a proven track record of taking ownership, taking initiative, and delivering results. - You collaborate effectively with cross-functional partners. - You have a learning and growth mindset. - You are mission-first and understand that your success is measured by your product and team’s success. - You are an early adopter in building with or adopting AI for your own product craft and you are excited about helping customers accelerate their own AI adoption journey. Location: - This role is hybrid (4 days a week in one of our Mountain View office) Compensation & Benefits: The standard base salary range for this position is $160,000 - $240,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. LI-HYBRID AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy . By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.
Training / AI Infrastructure
WHAT YOU’LL DO - Drive down wall-clock time to convergence by profiling and eliminating bottlenecks across the foundation model training stack stack, from data pipelines to GPU kernels - Design, build, and optimize distributed training systems (PyTorch) for multi-node GPU clusters, ensuring scalability, robustness, and high utilization - Implement efficient low-level code (CUDA, cuDNN, Triton, custom kernels) and integrate it seamlessly into high-level training frameworks - Optimize workloads for hardware efficiency: CPU/GPU compute balance, memory management, data throughput, and networking - Develop monitoring and debugging tools for large-scale runs, enabling rapid diagnosis of performance regressions and failures WHAT YOU’LL BRING - Deep experience in distributed systems, ML infrastructure, or high-performance computing (8+ years) - Production-grade expertise in Python - Low-level performance mastery: CUDA/cuDNN/Triton, CPU–GPU interactions, data movement, and kernel optimization - Scaling at the frontier: experience with PyTorch and training jobs using data, context, pipeline, and model parallelism - System-level mindset with a track record of tuning hardware–software interactions for maximum utilization
Data Agent
What You’ll Do - Develop LM/VLM-powered agents that autonomously interface with code, GUI, web tools, and design software to drive generative simulation - Build agentic systems that synthesize high-quality, diverse physical data by orchestrating simulation, generative models, and interactive tools - Build data pipelines to curate, generate, and preprocess datasets used for training and evaluating language- and vision-language-based agents - Collaborate with simulation and infrastructure teams to co-develop APIs, GUIs, and services that enable seamless interaction with physics engines and simulation environments - Drive innovation by staying at the forefront of LLM agents, autonomous tool use, and generative simulation — and translating cutting-edge research into robust, production-ready systems - Contribute to the creation of a generative simulation stack that empowers downstream applications in robotics, embodied AI, and physical reasoning What You’ll Bring - A bold and imaginative vision for a next-generation paradigm of physical data synthesis— combining simulation, generative models, and autonomous agents - Deep curiosity and strong technical ownership, with a track record of driving complex, open-ended projects from concept to implementation - Experience with (multimodal) large language models, generative AI tools, agentic software design, GUI automation, program synthesis - Passion for inventing creative solutions at the edge of AI, simulation, and physical reasoning, with an eagerness to build systems that generate high-fidelity, useful data for embodied intelligence - Bonus: Familiarity with interactive design tools (e.g., CAD software, game engines) or simulation environments (e.g., physics engines, robotics simulators)
Software Engineer: ML Infra
ABOUT GENERALIST At Generalist, we are on a mission to build general intelligence for the physical world and make it useful to everyone. We believe the industries and homes of the future will depend on humans and machines working together in new ways. Robots can help us build more and get more done. We build embodied foundation models, starting with a focus on dexterity. This requires advancing the frontiers of data, models, and hardware, to enable robots to intelligently interact with the physical world. The company embraces both large-scale AI and robotics as core to its DNA. Our team of researchers, roboticists, and company builders come from OpenAI, Boston Dynamics, Google DeepMind, and other frontier labs—with a track record of shipping AI breakthroughs. Before Generalist, we pioneered large embodied multimodal models and vision-language-action models (PaLM-E, https://research.google/blog/palm-e-an-embodied-multimodal-language-model/ RT-2 https://deepmind.google/blog/rt-2-new-model-translates-vision-and-language-into-action/, Gemini Robotics https://deepmind.google/models/gemini-robotics/), launched and scaled ChatGPT https://chatgpt.com/ and GPT-4 https://openai.com/index/gpt-4-research/ to hundreds of millions of users, engineered the foundations of autonomous driving, built next-generation robots (Atlas https://bostondynamics.com/atlas/, Spot https://bostondynamics.com/products/spot/, Stretch https://bostondynamics.com/products/stretch/) and pushed the limits of what they can do (from parkour https://www.youtube.com/watch?v=tF4DML7FIWk to manipulation https://bostondynamics.com/blog/large-behavior-models-atlas-find-new-footing/, and testing robustness https://www.youtube.com/watch?v=aFuA50H9uek). We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. ABOUT THE ROLE Generalist trains very large robot foundation models. This requires utilizing very large numbers of the latest generation GPU hardware and infrastructure (currently Nvidia) to run distributed training jobs and researcher experiments. We have extreme requirements on storage and data loading infrastructure that requires maximizing cloud infrastructure and custom solutions. You will also own inference infrastructure. For our robots this is a fleet of on-prem GPUs attached to robots that have extreme real-time and latency budgets in compute constrained environments. You’ll be responsible for: - Owning our GPU compute fleets - Ensure our GPUs are easy for researchers to use and maximally utilized - Optimizing and improving ML data loading transport and storage in highly distributed fully utilized environments. - Orchestration of robot inference fleets You might thrive in this role if you: - Have managed large fleets of GPUs doing large-scale, long-term, highly distributed training runs or inference - Deep experience in Slurm or Kubernetes for ML workload orchestration - Have build high-scale ML data loaders and preparation systems - Deeply understand every layer of the ML hardware, storage, and networking stacks - Have experience in the NVidia GPU ecosystem
Senior Legal Counsel
ABOUT GENERALIST At Generalist, we are on a mission to build general intelligence for the physical world and make it useful to everyone. We believe the industries and homes of the future will depend on humans and machines working together in new ways. Robots can help us build more and get more done. We build embodied foundation models, starting with a focus on dexterity. This requires advancing the frontiers of data, models, and hardware, to enable robots to intelligently interact with the physical world. The company embraces both large-scale AI and robotics as core to its DNA. Our team of researchers, roboticists, and company builders come from OpenAI, Boston Dynamics, Google DeepMind, and other frontier labs—with a track record of shipping AI breakthroughs. Before Generalist, we pioneered large embodied multimodal models and vision-language-action models (PaLM-E, https://research.google/blog/palm-e-an-embodied-multimodal-language-model/ RT-2 https://deepmind.google/blog/rt-2-new-model-translates-vision-and-language-into-action/, Gemini Robotics https://deepmind.google/models/gemini-robotics/), launched and scaled ChatGPT https://chatgpt.com/ and GPT-4 https://openai.com/index/gpt-4-research/ to hundreds of millions of users, engineered the foundations of autonomous driving, built next-generation robots (Atlas https://bostondynamics.com/atlas/, Spot https://bostondynamics.com/products/spot/, Stretch https://bostondynamics.com/products/stretch/) and pushed the limits of what they can do (from parkour https://www.youtube.com/watch?v=tF4DML7FIWk to manipulation https://bostondynamics.com/blog/large-behavior-models-atlas-find-new-footing/, and testing robustness https://www.youtube.com/watch?v=aFuA50H9uek). We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. AS GENERALIST’S FIRST IN-HOUSE LEGAL HIRE, YOU WILL TAKE BROAD OWNERSHIP ACROSS COMMERCIAL, CORPORATE, PRIVACY, AND TECHNOLOGY MATTERS AND HELP BUILD THE LEGAL FUNCTION AS THE COMPANY SCALES. YOU’LL WORK CLOSELY WITH COMPANY LEADERSHIP AND APPLIED AI & PARTNERSHIPS WHILE MANAGING EXTERNAL COUNSEL WHERE SPECIALIZED SUPPORT IS NEEDED. The ideal candidate has strong foundational experience in commercial and corporate law, but is also deeply interested in emerging technology. You should be comfortable working through questions where there may be limited precedent, particularly around AI, machine learning, data, privacy, intellectual property, and new technology business models. THIS ROLE IS DESIGNED FOR AN EXPERIENCED, HIGHLY INDEPENDENT LAWYER WHO WANTS TO REMAIN HANDS-ON WHILE TAKING ON SIGNIFICANT RESPONSIBILITY. FOR AN EXCEPTIONAL CANDIDATE WITH THE BREADTH AND EXPERIENCE TO SERVE AS THE COMPANY’S SENIOR-MOST LEGAL LEADER, WE ARE OPEN TO LEVELING THE ROLE ACCORDINGLY. RESPONSIBILITIES - Commercial & strategic transactions: Draft, review, and negotiate commercial agreements, including strategic partnerships, customer and vendor contracts, pilots, SOWs, NDAs, and other technology transactions; support complex negotiations with Partnerships and company leadership. - Corporate & fundraising: Support financings, fundraising, corporate governance, board and stockholder matters, diligence, and other corporate workstreams, coordinating with external counsel as needed. - AI, data & technology: Advise on legal issues related to Generalist’s technology, including training data, data-use rights, models and fine-tunes, intellectual property, confidentiality and privacy, deployment, and other emerging AI and robotics issues. - Legal advice & risk management: Serve as a practical legal advisor across the company, translating legal risk into clear recommendations that help teams move quickly and make sound decisions. - Legal infrastructure & external counsel: Build scalable templates, playbooks, policies, and processes, and manage outside counsel where specialized support is needed. - Emerging legal landscape: Stay current on developments in AI, LLMs, robotics, privacy, intellectual property, regulation, market practices, and contractual precedent, and take on new legal issues as they arise. Minimum Qualifications - JD and active membership in at least one U.S. state bar. - 6–10+ years of relevant legal experience, including meaningful experience at a technology company, technology-focused law firm, or both. - Strong experience drafting and negotiating commercial technology agreements. - Ability to independently identify legal issues, assess risk, develop a recommendation, and drive matters to resolution without requiring significant day-to-day supervision. - Strong grounding in corporate and commercial law, with the ability to work across a broad range of legal issues rather than specializing narrowly in a single area. - Ability to understand complex technical concepts, work effectively with engineering and research teams, and advise on technology, data, intellectual property, privacy, or related legal issues. - Excellent commercial judgment and an ability to give clear, practical advice rather than simply identifying legal risks. - Strong written and verbal communication skills, including the ability to explain complex legal concepts clearly to non-lawyers. - Comfort operating in a fast-moving environment where the applicable law, market norms, and contractual precedent may still be developing. PREFERRED QUALIFICATIONS - Experience working in-house at an AI, machine learning, robotics, software, or other frontier technology company, especially growth-stage startups. - Significant experience leading or supporting complex commercial deals, strategic transactions, financings, acquisitions, investments, and other high-value or high-impact legal transactions from structuring through execution. - Experience negotiating agreements involving AI models, training data, data licensing, model outputs, fine-tuning, intellectual property, or other emerging technology issues. - Familiarity with current commercial and legal practices in generative AI and LLM-related transactions.
Research Assistant
ABOUT GENERALIST At Generalist, we are on a mission to build general intelligence for the physical world and make it useful to everyone. We believe the industries and homes of the future will depend on humans and machines working together in new ways. Robots can help us build more and get more done. We build embodied foundation models, starting with a focus on dexterity. This requires advancing the frontiers of data, models, and hardware, to enable robots to intelligently interact with the physical world. The company embraces both large-scale AI and robotics as core to its DNA. Our team of researchers, roboticists, and company builders come from OpenAI, Boston Dynamics, Google DeepMind, and other frontier labs—with a track record of shipping AI breakthroughs. Before Generalist, we pioneered large embodied multimodal models and vision-language-action models (PaLM-E, https://research.google/blog/palm-e-an-embodied-multimodal-language-model/ RT-2 https://deepmind.google/blog/rt-2-new-model-translates-vision-and-language-into-action/, Gemini Robotics https://deepmind.google/models/gemini-robotics/), launched and scaled ChatGPT https://chatgpt.com/ and GPT-4 https://openai.com/index/gpt-4-research/ to hundreds of millions of users, engineered the foundations of autonomous driving, built next-generation robots (Atlas https://bostondynamics.com/atlas/, Spot https://bostondynamics.com/products/spot/, Stretch https://bostondynamics.com/products/stretch/) and pushed the limits of what they can do (from parkour https://www.youtube.com/watch?v=tF4DML7FIWk to manipulation https://bostondynamics.com/blog/large-behavior-models-atlas-find-new-footing/, and testing robustness https://www.youtube.com/watch?v=aFuA50H9uek). We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. ABOUT THE ROLE: We are looking for a Research Assistant to help design, run, and analyze experiments at the intersection of machine learning and robotics. This is an entry-level research role for individuals with less than 3 years of machine learning research experience, and is designed to be a potential career path towards eventually contributing as a Research Scientist. At Generalist, we are building foundation models for robots. These models improve through a tight feedback loop: design experiments, collect data, train or fine-tune models, evaluate them in the real world, analyze results, and repeat. This role helps make that loop faster, more rigorous, and more reliable. You will work closely with ML researchers and robotics engineers to run robot experiments, design evaluation tasks, brainstorm ideas, collect data, interpret results, and document repeatable workflows. A major part of this role is helping ensure our evaluations are trustworthy. We care deeply about experimental design, controls, hands-on iteration, sample sizes, variance, repeatability, and statistical rigor. YOU’LL BE RESPONSIBLE FOR: - Running structured experiments on robot platforms - Setting up physical tasks, materials, fixtures, and benchmarks for robot evaluations - Collecting high-quality robot data and tracking experimental conditions - Measuring real-world success rates across tasks, robots, and model variants - Designing evaluations with attention to controls, repeatability, statistical rigor, and sources of bias - Analyzing results to help distinguish real model improvements from noise - Synthesizing findings and communicating them clearly to ML researchers and engineers - Preparing robots, sensors, workspaces, and materials for rollouts and evaluations - Helping kick off training jobs, run evaluations, and organize results - Beta testing internal and third-party tools for teaching robots new skills - Troubleshooting physical setups, hardware issues, and procedural bottlenecks - Writing clear documentation and playbooks so others can reproduce workflows - Improving experimental reliability, data quality, and operational throughput over time YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have experience running experiments, lab studies, field studies, data collection workflows, or structured evaluations - Think carefully about experimental design, confounding factors, controls, sample sizes, variance, and what conclusions the data can actually support - Are diligent and detail-oriented, especially when tasks are repetitive but subtle differences matter - Enjoy hands-on work with physical systems, equipment, materials, or instruments - Are comfortable following protocols while also noticing when something is wrong or could be improved - Can coordinate many moving parts: robots, materials, tasks, data, model versions, metrics, and documentation - Communicate clearly and can summarize what happened, what changed, and what the evidence suggests - Are curious about machine learning and robotics, even if you are not yet an expert in either - Have some exposure to programming, data analysis, robotics, hardware, electronics, mechanical assembly, or experimental tooling - Prefer fast iteration, careful measurement, and empirical progress over abstract theory alone
AI Data Scientist
ABOUT THE ROLE You'll be Gamma's first Data Scientist, turning massive volumes of user data and AI outputs into insights that shape how millions of people create content. With over 1 million AI-generated presentations and 5 million AI images created daily, the signal is enormous. Your job is to find the patterns, measure what matters, and help us ship better features faster. You'll design A/B tests that measure product impact, build frameworks that reveal how our AI models perform across user segments, and investigate the hard questions: what makes a good AI-generated presentation, and why does a feature land differently for enterprise versus consumer users? You'll partner closely with product, engineering, and design to define quality metrics, uncover edge cases, and guide decisions with data. This is an IC role for someone eager to be hands-on, but it can grow into a leadership position establishing the Data function at Gamma. You'll thrive here if you're curious, comfortable with ambiguity, and excited to figure out what questions to ask rather than just answering the ones given to you. Our team has a strong in-office culture and works in person 4–5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most. WHAT YOU'LL DO - Build frameworks that help the team understand AI model performance, user behavior, and product health across Gamma's platform - Dig into AI model outputs across user cohorts to identify quality gaps and create evals and metrics to measure improvement - Partner with engineering and product to define quality metrics for AI-generated content and user satisfaction - Develop statistical models and frameworks that empower product teams to make data-informed decisions independently - Design and analyze large-scale A/B tests and experiments with statistical rigor to measure product impact and guide prioritization WHAT YOU'LL BRING - 8+ years of experience as a data scientist at product-focused tech companies, with experience managing or mentoring other data scientists - Strong statistical foundations with hands-on experience designing and analyzing A/B tests and experiments at scale - Experience working with large-scale data and building metrics frameworks from scratch, including modern data stack tools like dbt and Snowflake and comfort analyzing unstructured or text data - Experience working with AI/ML products, especially LLMs or generative AI, with familiarity evaluating model performance in production settings - Ability to communicate complex technical concepts to non-technical stakeholders and influence product decisions with clarity and conviction - A clear perspective on how agentic coding is transforming the data science role, and genuine excitement about applying AI to your own work (Nice to have) COMPENSATION RANGE: The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $180K - $310K plus benefits & equity. Final offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above. If you're interested in this role but you don't meet every requirement, we encourage you to apply anyway! We're always excited about meeting great people.
Solutions Architect - US
About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon. Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise. About the Role FuriosaAI is looking for a Solutions Architect to bring the full potential of our powerful RNGD chips/servers to our customers by acting as the primary technical authority in AI/LLM model deployments. From running POCs to benchmarking and debugging, you will translate RNGD’s powerful system to real-world deployments of customers’ models, empowering customers with FuriosaAI’s powerful solutions. If you are interested in providing the technical expertise in challenging the current status-quo of AI infrastructure in real-world environments, join us in our path to a sustainable future of AI. Key Responsibilities - Own end-to-end technical enablement for US customers deploying AI models on FuriosaAI's RNGD NPU using the Furiosa SDK - Develop POCs, benchmarking studies, and live debugging sessions directly in customer environments - Act as the technical authority to the US BD/Sales team during pre-sales and enterprise evaluations; translate deep technical capability into business value for engineering and C-suite audiences - Develop deep, current expertise in FuriosaAI's hardware and software stack and demonstrate it at US technical forums, AI conferences, and customer workshops - Onboard and train customers on integration patterns, optimization workflows, and best practices post-purchase - Serve as a technical feedback loop from US customers back to Seoul HQ product and engineering teams Minimum Qualifications - 2–5 years in a US customer-facing technical role: Solutions Architect, Sales Engineer, Forward Deployed Engineer, or equivalent at an AI infra, cloud, or semiconductor company - Actively current on the AI/LLM landscape — tracking model releases, inference frameworks, and serving stack evolution in real time - Hands-on experience with modern inference stacks: vLLM, SGLang, TensorRT-LLM, Triton Inference Server, or similar - Hands-on experience with agent and orchestration frameworks: LangChain, LlamaIndex, LangGraph, AutoGen, or MCP-based tooling - Proficiency in Python; comfortable with DNN frameworks (PyTorch, TensorFlow) - Strong written and verbal communication — able to engage credibly with ML engineers at frontier labs and VP/C-suite executives - Authorized to work in the US; able to travel to customer sites and to Seoul HQ periodically Preferred Qualifications - Prior experience at a US AI chip company, cloud silicon team, or AI infrastructure startup - Familiarity with NPU/GPU accelerator ecosystems, PCIe integration, and data center hardware deployment - Experience with inference optimization: quantization, kernel tuning, batching strategies, memory bandwidth optimization - Proficiency in C, C++, or Rust - Experience working with distributed or cross-timezone engineering teams Why Join FuriosaAI The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up. With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion. At Furiosa, you will: Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI. Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks. Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS. Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC. Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition. Contact - recruit@furiosa.ai
Software Engineer, Compiler (Front-end)
About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon. Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise. About the Role The compiler is central to FuriosaAI's mission to build high-performance, energy-efficient AI systems. The front end is where the compiler meets the outside world. Its mission spans three areas: - Faithful Ingestion: Translate models from external frameworks — with their evolving semantics, dynamic behaviors, and framework-specific constructs — into a precise internal representation that the rest of the compiler can reason about with confidence. - Structural Optimization: Reshape programs at the graph level — through operator fusion, constant propagation, and shape resolution — so that downstream compilation stages receive the cleanest possible input. - Tensor-Level Kernel Language Design: Design and evolve a programming language that enables users to directly author models optimized for FuriosaAI hardware. As the user-level interface to the compiler's internal IR and DSL, this language should maximize hardware performance while remaining intuitive for a broad range of users. We are looking for someone who thinks in systems, designs for extensibility, and brings rigor and clarity across the stack — from model ingestion to user-facing language design. Key Responsibilities - Design and implement the front-end pipeline that transforms models from major deep learning frameworks such as PyTorch into the compiler's internal IR. - Develop graph-level optimizations, including operator fusion, constant folding, shape inference, and layout transformations. - Build extensible model ingestion structures that can accommodate new architectures such as LLM, VLA, and Multimodal models, and custom operators, while maintaining consistency and correctness. - Design and evolve a tensor-level kernel language that exposes the capabilities of the internal IR and DSL through a consistent, well-abstracted user interface. - Establish verification mechanisms to ensure correctness throughout the translation process. - Collaborate with software teams and language users to maximize end-to-end compilation quality and refine the language design based on real-world usage patterns. Minimum Qualifications - Bachelor's degree in Computer Science, Mathematics, or a related field. - Experience or familiarity with compilers, program transformation systems, or related infrastructure. - Understanding of deep learning frameworks such as PyTorch, TensorFlow, and ONNX — and their model representations. - Ability to abstract complex system constraints into consistent, user-friendly programming interfaces. - Proficiency in Python and experience with at least one systems programming language such as Rust or C++. Preferred Qualifications - Master's or PhD in Programming Languages, Compilers, Program Analysis, or related fields. - Experience designing and implementing domain-specific languages (DSLs) or user-facing programming models. - Deep understanding of PyTorch compiler internals (TorchDynamo, FX Graph, torch.compile, torch.export) or kernel programming languages such as Triton. - Research or industry experience with compiler frameworks such as LLVM, MLIR, or TVM. - Understanding of AI accelerator architectures (NPU, GPU, TPU) and their implications for programming model design. - Experience with graph-level compilation optimizations or contributions to open-source compiler and deep learning framework projects. Why Join FuriosaAI The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up. With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion. At Furiosa, you will: Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI. Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks. Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS. Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC. Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition. Contact - recruit@furiosa.ai
Software Engineer, Agent System Developer
About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon. Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise. About AI Transformation Team - AI Transformation Team은 실제 엔지니어링 현장의 문제를 머신러닝으로 해결하며, 최적의 엔지니어링 솔루션을 끊임없이 탐색합니다. - 이러한 목표를 달성하기 위해 두 가지 방향으로 문제에 접근합니다. 첫째는 Agent System을 통해 문제 해결을 자동화하고 솔루션을 지속적으로 탐색 및 개선하는 것, 둘째는 특정 문제에 최적화된 모델의 설계 및 학습입니다. - 특히, Agent System을 중심으로 다양한 조직과 협업하고 AI 모델 최적화, 하드웨어 설계 등 다양한 엔지니어링 문제에 적용하며 새로운 문제 해결 방식을 만들어가고 있습니다. 나아가, Agentic AI에 대한 연구 결과들을 프로덕션 환경에서 동작할 수 있도록 구현하고, 이를 바탕으로 실질적인 엔지니어링 업무 효율화에 기여하고자 합니다. Key Responsibilities - Agent System Framework의 핵심 인프라 설계 및 개발 - Agent orchestration, context management, tool execution, memory abstraction 등 agent runtime의 핵심 컴포넌트 구현 - 다양한 조직과 협업하여 새로운 agent capability를 빠르게 프로토타이핑하고, 이를 프로덕션 환경으로 확장 - CLI 및 SDK를 포함한 developer-facing interface 설계 및 개선 Minimum Qualifications - 컴퓨터공학 또는 유관 분야 학사 학위, 혹은 이에 준하는 실무 경험 - 다음 중 두 가지 이상의 경험: - Distributed systems 또는 대규모 backend 시스템 설계 및 운영 경험 - Machine Learning / AI 시스템 (특히 LLM 기반) 개발 및 프로덕션 적용 경험 - Agent system, workflow engine, orchestration framework 중 하나 이상의 개발 경험 - Python, Go, 또는 C++ 기반의 backend 시스템 개발 경험 Preferred Qualifications - 컴퓨터공학 또는 유관 분야 석사/박사 학위 - 실제 환경 또는 대규모 시스템에서 agentic AI system framework를 설계 및 개발한 경험 - LLM 기반 application (예: reasoning system with planning, tool use) 개발 경험 - CLI 또는 SDK와 같은 developer tool 개발 경험 Why Join FuriosaAI The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up. With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion. At Furiosa, you will: Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI. Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks. Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS. Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC. Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition. Contact - recruit@furiosa.ai
Algorithm - AI System Researcher
About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon. Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise. About the Role 우리 팀은 NPU 기반 inference의 roofline 자체를 개선하는 방법을 연구합니다. 6개월~2년 뒤에 제품에 적용될 수 있는 도전적인 과제를 스스로 정의하고 탐색하며, POC와 prototyping까지 검증한 뒤 제품화 단계는 SW 조직과 협업하여 완성합니다. AI datacenter는 지금 큰 전환점에 있습니다. 수십~수백 개의 칩을 연동하는 cluster-level serving, AFD(Attention-FFN Disaggregation), 그리고 heterogeneous computing system 같은 기존의 틀을 넘어서는 시도들이 빠르게 등장하고 있습니다. 이런 시스템은 실제로 구현해서 실험하는 비용이 매우 큽니다. 우리는 구현에 앞서 analytical modeling과 simulation으로 설계 공간을 탐색하고 타당성을 검증하는 능력이 이 경쟁의 승부처가 될 것이라 판단하고, 여기에 베팅하고 있습니다. Serving System Researcher는 가설 수립부터 실기기 검증까지의 연구 사이클 전체를 다루되, 무게중심이 모델링과 분석에 있는 포지션입니다. 모델링·시뮬레이션으로 설계 공간을 넓게 탐색하고, 핵심 가설은 자사 NPU 위에서 직접 확인합니다. 특정 코드베이스나 프레임워크에 매이지 않고, 문제 해결에 필요한 도구를 그때그때 선택합니다 — simulator 기반의 roofline 분석에 집중하는 달이 있는가 하면, NPU 위에서의 구현에 몰입하는 달도 있습니다. 이 포지션을 정의하는 것은 작업의 형태가 아니라 질문입니다: "이 서빙 시스템은 어떤 workload에서 우위를 갖는가? 그것을 가장 빠르고 저렴하게 증명하려면 무엇이 필요한가?" Key Responsibilities - Cluster-level serving system, heterogeneous computing system 등 차세대 NPU serving의 굵직한 기술 챌린지를 발굴하고 연구 과제로 정의합니다. - Analytical modeling, roofline 분석, cost model과 자체 개발 simulator를 통해 serving 아키텍처와 알고리즘의 design space를 탐색하고, 성능·비용을 정량적으로 평가하여 핵심 의사결정에 필요한 근거를 만듭니다. - Scheduling, batching, KV cache 관리, disaggregation 등 serving algorithm을 구상하고 모델링·실험과 NPU 기반 구현으로 검증하며, 유망성이 확인된 아이디어는 POC/prototype으로 발전시켜 제품화를 위해 SW 조직과 협업합니다. Minimum Qualifications - AI/ML, Computer Architecture 또는 관련 분야의 석사 학위 소지(예정)자 혹은 이에 준하는 경험이 있으신 분 - LLM inference의 동작 원리(attention, KV cache, prefill/decode, batching, multi-chip parallelism 등)와 성능 특성에 대한 이해가 있으신 분 - Python, PyTorch 등을 활용하여 performance modeling, simulation, 데이터 기반 분석을 수행할 수 있으신 분 - 정답이 알려지지 않은 모호한 문제를 스스로 구조화하고, 가설-검증 사이클을 주도적으로 돌릴 수 있으신 분 - 분석 결과와 기술적 판단을 명확한 문서와 발표로 전달할 수 있으신 분 Preferred Qualifications - 분산 시스템, cluster-level software 또는 대규모 workload의 성능 분석·최적화 경험이 있으신 분 - vLLM, SGLang, TensorRT-LLM 등 LLM serving system의 내부 구조에 대한 이해가 있으신 분 - Roofline analysis, analytical performance model, TCO 분석 등 정량적 시스템 평가 경험이 있으신 분 - GPU/NPU 등 accelerator 기반 시스템의 최적화 또는 개발 경험이 있으신 분 - AI coding 도구를 활용한 개발과 연구에 익숙하신 분 이런 환경에서 일하게 됩니다 이 포지션이 잘 맞는지 판단하실 수 있도록, 우리 팀의 일하는 방식을 솔직하게 적습니다. - 불확실성이 기본값입니다. 우리는 채택 여부가 보장되지 않는 미래 기술에 베팅합니다. 수개월 탐색한 방향이 "안 되는 이유"를 밝히는 것으로 끝나기도 하며, 우리는 그것도 중요한 연구 성과로 간주합니다. - 작업의 형태가 계속 변합니다. 논문 읽기, 수식 유도, simulator 코딩, 실기기 실험, 발표 자료 작성이 모두 업무이며, 컴퓨터 아키텍처부터 serving 알고리즘, 데이터센터 경제성까지 공부해야 할 범위도 계속 바뀝니다. 특정 도구나 형태의 일에 대한 선호보다, 문제 자체에 대한 흥미가 오래 일하는 원동력이 됩니다. - 연구는 보고서로 끝나지 않습니다. 우리의 분석과 POC는 차세대 제품 의사결정의 근거로 사용됩니다. Why Join FuriosaAI The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up. With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion. At Furiosa, you will: Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI. Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks. Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS. Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC. Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition. Contact - recruit@furiosa.ai
Machine Learning Engineer
ABOUT FLUIDSTACK We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it. We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI. We hire people who care deeply about this problem space. If that is you, please apply! HOW WE OPERATE - Be a barrel. Full autonomy. Own things end to end, take on scope without being asked, no permission required to operate outside your core role. - Insane urgency. We drive everything forward as fast as possible. - Reason from first principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins. - Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward. - Build something that actually matters. If you're going to spend your time, spend it on something that matters to the world. ROLE SCOPE - Build ML and LLM systems that run inside the company's operations: forecasting build timelines, flagging schedule risk, and extracting structure from vendor documents. - Own models end to end, from problem framing and data through deployment, evaluation, and iteration in production. - Ship agentic systems with real guardrails, authorization, audit, and evals, so agents act on company systems instead of just advising. - Partner with data engineering and product pods to put predictions in the tools people already use. WHAT WE'RE LOOKING FOR - The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would https://jobs.ashbyhq.com/fluidstack/05c2e69c-42f9-4fcb-9cf0-a467aaf98f1c. - You've shipped ML or LLM features to production and owned them after launch. - You've built evaluation harnesses that told you the truth about model quality before users did. - You reach for the simplest model that works and can defend the choice. - You've worked hands-on with LLM APIs, fine-tuning, or retrieval systems on real business problems. - You write production-quality code and work fluently with AI coding tools. - Bonus: Forecasting or scheduling problems. Document extraction at scale. Agentic frameworks and MCP. Temporal or workflow engines. We are committed to pay equity and transparency. Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.
Member of Technical Staff, Cloud Infrastructure, S...
ABOUT US: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. ABOUT US: Here at Fireworks, we’re building the future of generative AI infrastructure. Fireworks offers the generative AI platform with the highest-quality models and the fastest, most scalable inference. We’ve been independently benchmarked to have the fastest LLM inference and have been getting great traction with innovative research projects, like our own function calling and multi-modal models. Fireworks is funded by top investors, like Benchmark and Sequoia, and we’re an ambitious, fun team composed primarily of veterans from Pytorch and Google Vertex AI. THE ROLE: As a Backend Software Engineer, you’ll be responsible for designing and developing the core backend systems that power Fireworks AI’s high-performance generative AI platform. Your work will focus on ensuring efficiency, scalability, and stability in handling AI workloads. KEY RESPONSIBILITIES: - Design and build core backend software components, ensuring efficiency, scalability, and stability of system resources - Conduct design/code reviews and collaborate with cross-functional teams - Continuously analyze and optimize infrastructure efficiency for AI workloads (compute, storage, networking) MINIMUM QUALIFICATIONS: - Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience - 3+ years experience working in ML infra (PyTorch, Vertex AI, Sagemaker, etc.) - Experience building, scaling, and optimizing enterprise-grade Machine Learning systems PREFERRED QUALIFICATIONS: - Experience in AI or large scale infrastructure - Master’s or PhD degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience WHY FIREWORKS AI? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators. WHY FIREWORKS? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Head of AI Enabled Business Systems
ABOUT US: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. ABOUT THE ROLE We are looking for a Head of Business Systems to build and lead the systems, processes, and technology foundation that enables our company to scale. As we grow, the complexity of our business is increasing across GTM, Accounting&Finance, Data team and Operations. This role will own the strategy and execution for the business applications and workflows that connect these teams, ensuring our systems are scalable, integrated, secure, and designed around how the business actually operates. You will be responsible for defining our business systems roadmap, building a high-performing team, improving core enterprise platforms, driving automation and AI adoption, and partnering closely with business leaders to translate operational needs into durable systems and processes. A key part of this role will be establishing how AI tools and AI-enabled capabilities integrate into the broader enterprise technology ecosystem. You will evaluate, implement, and govern AI tooling that improves employee productivity, automates business workflows, and extends the capabilities of existing enterprise applications while ensuring appropriate security, data, and governance standards. This is a highly cross-functional leadership role for someone who can operate at both the strategic and execution level: setting architecture and governance standards while also driving complex transformation programs to completion. WHAT YOU’LL OWN BUSINESS SYSTEMS STRATEGY & ARCHITECTURE - Define and own the company-wide business systems strategy, architecture, and multi-year roadmap. - Establish a scalable application ecosystem across core functions starting with centralized finance and connect upper stream and down stream applications. - Evaluate when to buy, build, consolidate, integrate, or retire systems. - Develop standards for system architecture, integrations, data ownership, automation, and application lifecycle management. - Define an enterprise approach for evaluating and integrating AI tools, AI-enabled applications, and agentic capabilities into the business systems architecture. - Ensure the technology stack evolves ahead of the company's growth rather than becoming a constraint on it. ENTERPRISE APPLICATIONS - Own the portfolio of critical business applications, which may include platforms such as Oracle Netsuite, Ironclad, Ramp, and other related systems. - Establish clear platform ownership, governance, administration, development, and support models. - Improve reliability, usability, scalability, and adoption of business-critical systems. - Partner with Security and IT to ensure appropriate access controls, compliance, resilience, and vendor risk management. - Establish standards for the adoption and administration of AI-enabled features and third-party AI tools connected to enterprise applications and company data. BUSINESS PROCESS & AUTOMATION - Partner with functional leaders to redesign workflows and eliminate unnecessary operational complexity. - Identify opportunities to automate high-volume or manual processes using workflow platforms, APIs, AI, and emerging technologies. - Evaluate and implement AI tooling, including AI assistants, copilots, intelligent workflow automation, and agentic solutions, where they can materially improve productivity, decision-making, or operational efficiency. - Build reusable integration and automation capabilities rather than isolated point solutions. - Establish metrics for process efficiency, system adoption, automation coverage, AI tooling adoption and impact, and operational quality. DATA & INTEGRATION - Create a coherent integration strategy across enterprise applications and data platforms. - Improve the consistency and reliability of core business data across systems. - Establish clear systems of record, data ownership, and governance for critical business entities such as customers, products, employees, contracts, and financial data. - Define how AI tools and agents securely access, use, and interact with enterprise data, APIs, and systems of record. - Partner with Data and Analytics teams to ensure operational systems produce trusted, accessible data for reporting and decision-making. TRANSFORMATION PROGRAMS - Lead major cross-functional systems initiatives such as CRM transformation, quote-to-cash, lead-to-revenue, procure-to-pay, hire-to-retire, financial systems modernization, AI-enabled workflow transformation, or global expansion. - Develop clear business cases, program plans, governance structures, and success metrics for major investments. - Coordinate stakeholders across business functions, Engineering, IT, Security, Finance, and external implementation partners. - Ensure programs deliver measurable business outcomes, not simply technology deployments. TEAM LEADERSHIP - Build and lead a high-performing Business Systems organization spanning platform owners, business systems analysts, developers, architects, and program managers. - Define the operating model, organizational structure, and capabilities needed as the company scales. - Hire, develop, and retain exceptional systems talent. - Build AI fluency within the Business Systems organization and establish the technical capabilities required to evaluate, integrate, and operate AI-enabled solutions. - Create a culture of strong ownership, customer orientation, technical excellence, and pragmatic execution. VENDOR & INVESTMENT MANAGEMENT - Own or influence a significant portfolio of enterprise software and services spend. - Live with Finance, Procurement, partner with Security, and Legal on vendor selection, negotiation, implementation, and renewal. - Evaluate AI technology vendors and platforms based on business value, integration capabilities, data security, governance, scalability, and total cost of ownership. - Rationalize overlapping tools and improve return on technology investment. - Develop investment frameworks that balance speed, scalability, control, and total cost of ownership. WHAT SUCCESS LOOKS LIKE Within your first 12–18 months, you will have: - Established a clear business systems architecture and roadmap aligned to company growth. - Improved the reliability and scalability of the company's most critical enterprise platforms. - Reduced manual work and operational friction through automation and process redesign. - Established a clear strategy and governance model for AI tooling and delivered high-value AI-enabled workflows across the business. - Created stronger ownership and governance for business applications and core business data. - Delivered one or more major cross-functional transformation programs. - Improved visibility into systems spend, platform health, adoption, and technology ROI. - Built a strong Business Systems team capable of supporting the next stage of company growth. WHAT WE’RE LOOKING FOR - 12+ years of experience across Business Systems, Enterprise Applications, IT, Business Technology, or related functions. - 5+ years leading teams in a rapidly growing or complex enterprise environment. - Demonstrated ownership of large-scale enterprise application portfolios and transformation initiatives. - Deep experience with one or more major enterprise platforms such as Salesforce,, NetSuite, Oracle, Billing platforms, or comparable systems. - Strong understanding of enterprise architecture, integrations, APIs, workflow automation, identity, data governance, and SaaS operating models. - Experience evaluating, implementing, and integrating AI tools or AI-enabled capabilities into enterprise applications and business workflows. - Understanding of the architecture and governance considerations associated with enterprise AI, including data access, APIs, permissions, security, human-in-the-loop controls, and AI agent integration. - Experience designing and improving end-to-end business processes across multiple functions. - Proven ability to partner with senior leaders and translate business strategy into systems and operational capabilities. - Strong program management and change management skills. - Experience managing systems integrators, consultants, software vendors, and significant technology budgets. - Ability to move fluidly between executive-level strategy, architecture decisions, organizational design, and hands-on problem solving. PREFERRED QUALIFICATIONS - Experience scaling business systems through periods of rapid headcount, geographic, product, or revenue growth. - Experience supporting a public company or organizations operating with SOX or similar regulatory requirements. - Experience with modern integration and automation platforms and AI tools. - Experience with enterprise AI platforms, AI assistants/copilots, agentic workflows, or AI orchestration technologies. - Familiarity with modern data platforms and architectures. - Experience introducing AI-enabled automation into enterprise workflows. - Experience developing governance, security, and operating standards for AI tools connected to enterprise systems and data. - Experience supporting international operations, M&A integration, or multi-entity environments. LEADERSHIP PROFILE The ideal candidate is: - Business-first: Starts with the operating problem rather than the technology. - Architecturally minded: Builds systems that work together rather than accumulating disconnected tools. - Pragmatic: Knows when to optimize, when to simplify, and when “good enough” is the right answer. - Highly accountable: Owns outcomes from strategy through implementation and adoption. - Influential: Can align executives and teams with competing priorities. - Scalable in thinking: Designs for where the company is going, not only where it is today. - Technically credible: Can engage deeply with architects, developers, security teams, vendors, and AI technology partners while communicating clearly with business leaders. REPORTING & SCOPE This role will report to the Head of Finance and Operations and will partner closely with leaders across Finance, Sales, Marketing, Customer Success, People, Legal, Security, Data, and Engineering. The role will lead the Business Systems / Enterprise Applications organization and will be responsible for a portfolio of critical enterprise applications, integrations, automation platforms, AI tooling, and transformation programs. WHY FIREWORKS? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Associate Product Manager
ABOUT US: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. ABOUT THE ROLE This is a rare opportunity for an early-career product manager to work at the frontier of AI infrastructure — building tools used daily by developers and AI teams at the world's most ambitious companies. Inspired by Google’s APM program and other cornerstone programs, APMs at Fireworks will receive mentorship from experienced PMs while also getting rotations across both Fireworks’ product areas and tasks (platform product, forward-deployment and strategic projects). This role is designed to help you develop the foundational skills of a start-up product leader: rigorous thinking, user empathy, technical depth, and cross-functional leadership. KEY RESPONSIBILITIES - Act as a trusted technical advisor to customers, helping shape their GenAI strategy using Fireworks infrastructure. - Partner with engineering, design, and data science teams to define, build, and ship product features across the Fireworks platform — from API tooling to model fine-tuning workflows to inference infrastructure - Engage directly with customers from fast-moving startups to large enterprises, to identify use cases and convert interest into long-term usage and expansion - Partner with GTM functions like sales and marketing to evangelize new products to customers and throughout the Fireworks org MINIMUM REQUIREMENTS - You recently graduated (or are about to) with a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field - Less than 2 years of professional experience (this role is designed for early-career candidates). - Curiosity about AI, LLMs, and developer tooling. You've been vibe coding constantly and building with AI APIs - Clear written and verbal communication - You’ll be interacting directly with customers and need to explain technical tradeoffs to them - Strong analytical skills and user empathy - Deep hunger and motivation. This isn’t a 9-5 job and you’ll be expected to step up, especially during periods of “wartime” - Comfortability with ambiguity and energized by fast-moving environments PREFERRED QUALIFICATIONS - Hands-on experience with AI/ML infrastructure: inference serving, fine-tuning pipelines, embeddings, or agent frameworks. - Prior internship or project experience in product management, software engineering, or data science. - Familiarity with developer-focused products and an understanding of what makes a great API or SDK experience. WHY FIREWORKS? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Automation Engineer
FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About This Role As an Automation Engineer at FieldAI , you will work closely with our deployed robot fleet to improve reliability and performance across real-world sites. You’ll sit at the intersection of robotics, machine learning, and field operations , owning the triage and resolution of issues across autonomy. A key part of the role is helping run our ML flywheel : identifying and prioritizing failure modes, curating and labeling data, working with modeling teams to improve models, and partnering with deployment teams to validate and ship those improvements. You’ll also have hands-on ML responsibilities, including building datasets, evaluating models, and training or fine-tuning models for new failure modes or site-specific use cases when needed. This role is ideal for someone who enjoys solving real-world problems, working across teams, and seeing their work directly improve autonomous robots in production. What You’ll Get To Do . Site Performance & Failure Triage Own day-to-day triage of issues across deployed sites and identify the highest-impact failure modes. Analyze robot behavior, logs, telemetry, and model outputs to diagnose issues across perception, prediction, and planning. Track failure modes and drive issues through resolution, with a focus on consistently improving site performance. 2. ML Flywheel & Continuous Improvement Work with data/labeling, modeling, and deployment teams to turn field failures into actionable data and model improvements. Build and maintain datasets and evaluation sets for new failure modes and site-specific use cases. Measure improvements in production and ensure fixes are validated and generalized across sites. 3. Hands-on ML & Modeling Train, fine-tune, and evaluate ML models when required to address new failure modes or site-specific challenges. Experiment with data, model, and inference changes across perception, prediction, and learned planning. Help identify whether a problem is best addressed through data, labeling, modeling, or system/deployment changes. 4. Deployment & Site Support Partner with deployment and robotics engineers to integrate and validate model and system improvements on robots. Support new use cases and customer requirements from development through production deployment. Help maintain reliable operation and rapidly burn down issues across deployed sites. What You Have Bachelor’s or Master’s degree in Computer Science, Robotics, AI, or a related field. Strong Python and experience with modern ML frameworks such as PyTorch. Experience training, fine-tuning, and evaluating machine learning models. Strong debugging and problem-solving skills, with the ability to work across ML and robotics systems. Experience with C++ and production ML/robotics systems. Understanding of ML data pipelines, labeling, evaluation, and model deployment. Interest or experience in robotics, autonomous systems, perception, prediction, or planning. Ability to work effectively across modeling, data/labeling, and deployment teams. What Sets you Apart Experience working with real-world robotics, autonomous vehicles, or other deployed ML systems. Experience working with perception, prediction, planning, or learned navigation models. Experience diagnosing model failures and driving iterative improvements from production data.
Machine Learning Engineer, Safety
fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. About this role: fal is looking for a Machine Learning Engineer to own the ML and the ML infrastructure that power our safety systems end-to-end — from the models that detect harmful content and misuse to the pipelines and infrastructure that run them reliably at scale. This is a dedicated, hands-on engineering role sitting on the Trust & Safety team, working alongside our safety engineering function to keep detection capability ahead of a fast-growing platform with 1,000+ models. What you’ll do: - Design, build, and maintain the ML models and the ML infrastructure behind fal's safety and abuse-detection systems, end-to-end - Improve the accuracy, coverage, latency, and scalability of detection pipelines across the platform - Partner with Security and Infrastructure Engineering to integrate safety systems deeply into core platform infrastructure - Evaluate and integrate third-party safety tooling and vendor models where it makes sense - Stay current with the ML safety/detection landscape and bring new techniques and infrastructure patterns into fal's stack - You will have access to our massive GPU cluster for inference and evaluation - Some core technologies we use include Python, torch, diffusers, Kubernetes, and the fal Python SDK - You'll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughs — your job is to make sure that speed never comes at the cost of safety Qualifications/Nice to have: - Prior hands-on experience in trust & safety, content moderation, or abuse/detection systems — required - Strong end-to-end engineering fundamentals — comfortable owning both the ML and the infrastructure that serves it in production - Comfortable owning ambiguous, high-stakes problems with limited precedent - Based in San Francisco; fal works in-person, 5 days a week What we offer at fal: - Interesting and challenging work - Competitive salary and equity - A lot of learning and growth opportunities - We offer relocation assistance to San Francisco. - Health, dental, and vision insurance (US) - Regular team events and offsite Comp: - 180k - 250k + equity + comprehensive benefits package U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.
Machine Learning Engineer, Reliability
fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. ABOUT THIS ROLE: This is a hybrid ML Engineering / Site Reliability Engineering role. You will own the reliability, security, and safety of fal's fleet of generative media model APIs, the production endpoints that thousands of developers and enterprises depend on every day. Your mission is simple to state and hard to do: keep a large, fast-moving fleet of image, video, and audio model APIs available, performant, secure, and safe at all times. You understand both how generative models work and how production systems fail. You're as comfortable debugging a misbehaving diffusion pipeline as you are tracing a latency regression through an inference stack, and you treat model-specific failure modes; degraded output quality, drift, unsafe generations, abuse patterns; as first-class reliability concerns alongside uptime and latency. This role will need to be based in India, Australia, or New Zealand What you'll do - Own availability, latency, and throughput SLOs across a large fleet of generative media model APIs serving production traffic at scale - Build the monitoring, alerting, and observability needed to catch ML-specific failures, output quality degradation, pipeline breakage, model regressions before customers do - Harden model deployment workflows with canary releases, shadow testing, automated rollbacks, and validation gates so new model versions ship safely - Drive the security posture of the model fleet: secure model serving, abuse and misuse detection, rate limiting, and protection against adversarial usage patterns - Operationalize safety systems for generative media, content moderation pipelines, safety classifiers, and guardrails that run reliably at inference time without compromising performance - Lead incident response for model API outages and degradations, run postmortems, and drive the engineering work that prevents recurrence - Improve capacity planning, autoscaling, and GPU fleet efficiency for inference workloads under highly variable traffic - Partner with model and infrastructure teams to make reliability, security, and safety requirements part of how new models get onboarded to the platform - You will have access to our massive GPU cluster for inference and evaluation Qualifications/Nice to have: - 5+ years of professional experience, with 2 year experience operating production ML or high-scale API systems, ideally with on-call ownership - Experience working with and supporting diffusion models in production - Strong systems fundamentals: distributed systems, networking, observability, and incident management - Working knowledge of modern generative models (diffusion, transformers) and their failure modes in production - Familiarity with security and safety practices for ML systems ,abuse prevention, content safety, or trust & safety engineering experience is a strong plus - A bias toward automation, measurement, and blameless postmortems - Core technologies we use include Python, torch, diffusers, Kubernetes, and the fal Python SDK - You'll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughs — your job is to make sure that speed never comes at the cost of reliability WHAT WE OFFER AT FAL - Interesting and challenging work - Competitive salary and equity - A lot of learning and growth opportunities - Regular team events and offsites U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.
Senior Research Scientist - AI Safety Evaluations
WHY FACULTY? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here https://faculty.ai/impact. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. ABOUT THE TEAM We are the central research and development team within Faculty's broader AI safety charter. Our group focuses on fundamental and applied technical AI safety research, producing rigorous scientific outputs - publications, tooling, technical reports & evaluations - that advance the theory, practice and understanding of AI risks, and directly inform the work of frontier AI labs, government agencies, and national security institutes. Our research spans fundamental research using black-box and white-box approaches to understand and steer AI systems, to building and advancing safety evaluations which better understand and quantify risks in AI. We care deeply about mechanistic understanding and scientific rigour in measuring risks in AI systems. Current research threads include (but are not limited to) uncertainty calibration, goal drift, misinformation mitigation, steering vectors, robust safeguard measurement and the science of evaluations. We collaborate closely with the Faculty's wider AI safety team, a group with a well-established track record in capability evaluations and red-teaming for misuse risk across CBRN, cybersecurity, societal and psychosocial harms. That work has been conducted for several leading frontier model developers and national safety institutes, and has been featured in model cards and safety reports from Anthropic, GDM, Meta & OpenAI. ABOUT THE ROLE As a Senior Research Scientist at Faculty, you will lead the development of cutting-edge safety evaluations to quantify AI risks in critical domains like CBRN and Cyber. Joining our high-impact R&D team, you will drive original research that advances safety methodology while collaborating with delivery teams building evaluations and red-teaming for frontier labs. This is a high-agency opportunity to conduct technical AI safety research that produces scientific outputs shaping the future of safe real-world AI deployment. WHAT YOU'LL BE DOING - Leading the development of novel safety evaluations in high-impact domains such as CBRN and Cyber to quantify emerging risks. - Executing original technical research in AI safety evaluation methods, taking ideas from concept to publication. - Shaping the R&D agenda by identifying strategic opportunities to advance safety evaluation methodology across Faculty and the broader ecosystem. - Contributing thought leadership and deep technical expertise to client delivery projects, evaluation work, and red-teaming for frontier labs. - Representing Faculty’s scientific leadership through active external engagement with the global research community, frontier labs, and government stakeholders. WHO WE'RE LOOKING FOR - A track record of owning research end-to-end—from identifying novel problems to publication—driven by scientific curiosity and tenacity. - Hands-on experience designing and building AI evaluations or benchmarks, alongside a strong ability to reason about construct validity and mitigate confounds. - Expertise in red-teaming, adversarial testing, jailbreaking, indirect prompt injection, and assessing the robustness of model safeguards. - Strong foundational skills in experimental design, statistical analysis, and uncertainty quantification, including Bayesian methods. - Deep knowledge of language models, generative AI architectures, training methodologies, and safety mitigation techniques. - Solid Python proficiency combined with the engineering discipline required to build robust, reproducible research. NICE TO HAVES - Experience in threat and risk modelling. - Background or knowledge in high-risk domains such as CBRN or Cybersecurity. - A history of high-impact AI research, evidenced by top-tier publications or equivalent practical achievements. OUR RECRUITMENT ETHOS We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.
Senior Machine Learning Engineer (Safety)
WHY FACULTY? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here https://faculty.ai/impact. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. ABOUT THE TEAM Our National Security and AI Safety business unit is dedicated to advancing the responsible development and deployment of AI in support of national security and global stability. From strengthening mission-critical capabilities across national security and intelligence, to working with frontier labs to provide robust AI safety red teaming and evaluation, we work at the frontier of high-stakes, high-impact missions. We understand that powerful AI systems bring both transformative opportunities and complex risks and we are proud to partner with Government and the biggest tech organisations in the world to ensure AI is not just transformative but is also secure, trustworthy and safe for all. ABOUT THE ROLE As a Senior Machine Learning Engineer, we’ll look to you to lead development and deployment of cutting-edge AI systems for our diverse clients. You’ll design, build, and deploy scalable, production-grade ML software and infrastructure that meets rigorous operational and ethical standards. You will lead the bridge between AI research and real-world impact by architecting scalable, production-grade machine learning systems. Partnering directly with clients and cross-functional teams, you will drive technical strategy, mentor teams on best practices, and collaborate with Frontier Labs to define and reinforce our industry leadership in practical, high-stakes AI safety. WHAT YOU'LL BE DOING: - Leading technical scoping and architectural decisions for high-impact ML systems and capability testing of Frontier AI models - Designing and building production-grade ML software, tools, and scalable infrastructure - Defining and implementing best practices and standards for deploying machine learning at scale across the business - Collaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities - Acting as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies - Mentoring and developing junior engineers, actively shaping our team's engineering culture and technical depth WHO WE'RE LOOKING FOR: - You have significant experience building and deploying secure and scalable LLM applications, and are comfortable with multi-agent harness tooling and AI Safety evaluation procedures. - You understand the full ML lifecycle and are confident operationalising models built with frameworks like TensorFlow or PyTorch - You bring deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems - You have demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) specifically cloud architecture, infrastructure management, and end-to-end cybersecurity practices - You've extensive experience working with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale - You thrive in fast-paced, high-growth environments, demonstrating ownership and autonomy in driving projects to completion - You communicate exceptionally well, confidently guiding both technical teams and senior, non-technical stakeholders OUR INTERVIEW PROCESS 1. Talent Team Screen (30 minutes) 2. Pair Programming Interview (90 minutes) 3. System Design Interview (90 minutes) 4. Commercial Interview (60 minutes) #LI-PRIO OUR RECRUITMENT ETHOS We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.
Machine Learning Engineer (Safety)
WHY FACULTY? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here https://faculty.ai/impact. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. ABOUT THE TEAM Our National Security and AI Safety business unit is dedicated to advancing the responsible development and deployment of AI in support of national security and global stability. From strengthening mission-critical capabilities across national security and intelligence, to working with frontier labs to provide robust AI safety red teaming and evaluation, we work at the frontier of high-stakes, high-impact missions. We understand that powerful AI systems bring both transformative opportunities and complex risks and we are proud to partner with Government and the biggest tech organisations in the world to ensure AI is not just transformative but is also secure, trustworthy and safe for all. ABOUT THE ROLE Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse clients. You will bridge the gap between AI research and real-world impact by building scalable, production-grade machine learning systems. Partnering with clients and cross-functional teams, you will champion technical feasibility, ensure seamless delivery, and collaborate with Frontier Labs to reinforce our leadership in practical, high-stakes AI safety. WHAT YOU'LL BE DOING: - Building and deploying production-grade ML software, tools, and infrastructure. - Creating reusable, scalable solutions that accelerate the delivery of ML systems and capability testing of Frontier AI models. - Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges. - Leading technical scoping and architectural decisions to ensure project feasibility and impact. - Defining and implementing Faculty’s standards for deploying machine learning at scale. - Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders. WHO WE'RE LOOKING FOR: - You are comfortable building LLM applications, and are familiar with multi-agent harness tooling and AI Safety evaluation procedures. - You possess strong Python skills and solid experience in software engineering best practices. - You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security. - You've worked with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale - You are comfortable with core ML concepts, including probability, statistics, and common learning techniques. - You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch. - You're an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders. - You thrive in a fast-paced environment, and enjoy the autonomy to own scope, solve and delivery solutions OUR INTERVIEW PROCESS 1. Talent Team Screen (30 minutes) 2. Pair Programming Interview (90 minutes) 3. System Design Interview (90 minutes) 4. Commercial Interview (60 minutes) #LI-PRIO OUR RECRUITMENT ETHOS We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.
Lead Machine Learning Engineer
WHY FACULTY? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here https://faculty.ai/impact. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. ABOUT THE TEAM Our National Security and AI Safety business unit is dedicated to advancing the responsible development and deployment of AI in support of national security and global stability. From strengthening mission-critical capabilities across national security and intelligence, to working with frontier labs to provide robust AI safety red teaming and evaluation, we work at the frontier of high-stakes, high-impact missions. We understand that powerful AI systems bring both transformative opportunities and complex risks and we are proud to partner with Government and the biggest tech organisations in the world to ensure AI is not just transformative but is also secure, trustworthy and safe for all. Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Developed Vetting (DV) and willing to work on site with our clients from time to time. ABOUT THE ROLE As a Lead Machine Learning Engineer at Faculty, you will set the technical direction for complex AI/ML projects, ensuring models perform at scale and in production over time by balancing technical trade-offs and guiding team priorities. You will lead the delivery of large-scale AI-powered platforms in high-risk environments while defining project roadmaps across multiple complex workstreams. This is an ambitious, entrepreneurial leadership role where you will act as a trusted technical expert, defending your architectural rationale to senior stakeholders to ensure we deliver high-quality, high-value outputs. WHAT YOU'LL BE DOING: - Designing, implementing, and maintaining reliable, scalable ML systems while justifying key architectural decisions for production environments. - Driving the development of shared libraries and infrastructure for model deployment, lifecycle management, and CI/CD pipelines. - Leading model integration with infrastructure by creating APIs and services that enable scalable AI functionality in applications. - Overseeing the delivery of multiple complex workstreams and defining project problems in high-risk environments. - Ensuring reliable model performance by defining testing frameworks and model versioning systems for senior engineers to implement. - Managing and coaching multiple individuals, setting team-wide development goals to improve technical depth and client delivery. - Executing proactive recommendations for adopting new technologies and AI frameworks to maintain Faculty's competitive market position. WHO WE'RE LOOKING FOR: - You are an expert at defining technical roadmaps and managing project priorities to deliver high-stakes outcomes within high-growth environments. - You possess mastery of cloud-native ecosystems and orchestration tools like Kubernetes to automate complex model lifecycles and robust CI/CD pipelines. - You have a proven ability to design large-scale, AI-powered platforms and provide the technical justification for critical architectural decisions in high-risk environments. - You bring expert-level experience in operationalising models within frameworks like TensorFlow or PyTorch to solve complex, high-impact business challenges. - You define the engineering standards and architecture patterns for agentic systems, ensuring teams build to a consistent, production-grade bar. - You demonstrate an exceptional ability to align multi-disciplinary technical teams with broader business objectives and evolving customer needs. THE INTERVIEW PROCESS 1. Talent Team Screen (30 minutes) 2. Introduction to the Hiring Manager (30 minutes) 3. Pair Programming Interview (90 minutes) 4. System Design Interview (90 minutes) 5. Commercial & Leadership Interview (60 minutes) #LI-PRIO OUR RECRUITMENT ETHOS We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.
Machine Learning Engineer
ABOUT ELICIT Elicit https://elicit.com is building the reasoning layer for science and decision-making. We use language models to search over 125 million papers, extract data, and surface insights so that researchers, policy-makers, and industry leaders can go from questions to evidence-backed decisions in minutes. Today, hundreds of thousands of researchers have used Elicit to speed up literature reviews, automate systematic reviews, and explore new domains. As we expand our impact beyond academic research, we are laying the groundwork for ML systems that are systematic, transparent, and unbounded https://blog.elicit.com/ai-safety/ when reasoning at scale. To do this, Elicit is pioneering supervision of process, not outcomes https://ought.org/updates/2022-04-06-process. Instead of favoring large black-box models, we break complex questions down into human-legible steps and supervise the reasoning process itself. This approach delivers more transparent, defensible answers today and charts a safer path toward advanced AI tomorrow. Our vision is ambitious: we’re building the default starting point for understanding and reasoning through any hard question. We invite you to help us build that future. (See how people use Elicit today on Twitter https://twitter.com/elicitorg; explore our vision in the roadmap https://ought.org/updates/2022-04-08-elicit-plan.) ABOUT THE ROLE As a Machine Learning Engineer at Elicit, you’ll build products and workflows that help researchers and scientific teams make higher quality decisions with language models. This is not a role for someone who only wants to develop models in isolation from user impact. A large part of the work is software engineering: building product experiences, APIs, data integrations, evaluation systems, and reliable harnesses that make language models reliably useful and trustworthy in high-stakes domains. You’ll work on problems like: - Turning messy, ambiguous research tasks into clear product experiences - Building interfaces and artifacts that help users understand, trust, and act on model outputs, thinking beyond the chat interface while leveraging full model capabilities - Combining language models with external tools, structured and unstructured data, and retrieval systems - Improving quality through building careful evaluations, truth-conducive model environments and tools, and targeted ML modeling where the impact is high WHAT YOU’LL BUILD - Agentic harnesses for target assessment, evidence synthesis, and experiment planning that allow models to provide guarantees about their processes - Data integrations across literature, scientific databases, customer data, and internal tools - APIs that customers can use in their own systems - Evaluation systems that help us understand whether a change actually improves user outcomes - Trust and transparency features, like source-quality signals, intermediate reasoning, and better ways to inspect and fix outputs EXAMPLE PROJECTS Examples of projects you could work on: - Build a target-assessment workflow that combines literature, genetics, chemistry, clinical, regulatory, and company data into a shareable artifact. - Build experiment-planning and iteration tools that help researchers decide what to do next and learn from new results. - Build evidence-monitoring workflows that keep teams up to date through alerts, briefs, and living reports. - Build enterprise APIs and structured-output pipelines that plug Elicit into customers’ internal systems. - Build interfaces that make it easier to inspect, trust, and correct model outputs. - Build workflow-specific evals and quality systems that tell us whether a product change actually helped users. - Improve extraction, reasoning, or search quality with better prompts, better system design, or finetuning when appropriate. WHAT YOU BRING - A strong software engineering background and can build end-to-end systems, not just scripts or notebooks - Fluency with language models to reason well about prompting, retrieval, evals, failure modes, and where (and how) finetuning is or isn’t worth it - Strong product sense and likes turning fuzzy user problems into concrete things people can use - An excitement to solve difficult, creative problems rather than narrow optimization on well-defined benchmarks - Ability to move across backend, data, and model layers as needed - Clear communication with product, design, domain experts, and other engineers - Ability to use coding assistants effectively and thoughtfully, and has adapted their workflow to become much more effective with them To get a sense for how some of us look at applications, see this thread https://twitter.com/stuhlmueller/status/1704543826218729868. (The short version: Wherever we can, we prefer to directly evaluate work.) YOU’LL THRIVE HERE IF YOU: - Like shipping user-facing things quickly - Enjoy working on ambiguous problems with a lot of autonomy - Care about product quality and user trust, not just technical novelty - Want to build new kinds of software made possible by language models - Are excited to use AI tools as part of your daily engineering workflow, while still applying strong judgment WHAT WE’RE NOT LOOKING FOR: This is probably not the right role if you mainly want to: - do low-level model systems work like CUDA optimization or model serving infrastructure as your primary focus - work only on research experiments without owning production systems - optimize benchmark numbers without much connection to user workflows or product outcomes We do care about model quality, evals, and sometimes finetuning. But those matter because they help us build products users can rely on, not as ends in themselves. AM I A GOOD FIT? Consider these questions: 1. How does a transformer work? 2. What is a tokenizer? 3. What is a decorator in Python? 4. What are generic types? Strong applicants will find it easy to answer these questions. [https://app.ashbyhq.com/api/images/user-content/797554ae-ec94-4cd4-8a92-0ca2488582e0/b3dfeb51-0b0a-456d-bab1-5e1fd385abab/elicit-team-2.jpeg] LOCATION AND TRAVEL We have a great office in Oakland, CA, and we'd love to see you there if you're local. That said, we're just as happy for you to work remotely. We do get the whole team together for a quarterly retreat somewhere fun, because in-person time matters to us. BENEFITS In addition to working on important problems as part of a happy, productive, and positive team, we also offer great benefits (with some variation based on work location): - Flexible work environment - work from our office in Oakland or remotely as long as you can travel to work in-person for retreats and coworking events https://www.notion.so/elicit-research/In-person-work-at-Elicit-How-we-combine-remote-flexibility-with-in-person-time-233cfae9876c80f8802ed08d4c2548a5?source=copy_link - Fully covered health, dental, vision, and life insurance for you, generous coverage for the rest of your family - Flexible vacation policy, with a minimum recommendation of 20 days/year + company holidays - 401K with a 6% employer match - Every Elician receives a $200 monthly wellbeing stipend to spend on whatever supports your health and wellbeing. - A new Mac + $1,000 budget to set up your workstation or home office in your first year, then $500 every year thereafter - $1,000 quarterly AI Experimentation & Learning budget, so you can freely experiment with new AI tools to incorporate into your workflow, take courses, purchase educational resources, or attend AI-focused conferences and events - A team administrative assistant that you can delegate personal and work tasks to - Commuter benefits, a relocation bonus, and more! - You can find more reasons to work with us in this thread https://twitter.com/stuhlmueller/status/1694059800408269091. COMPENSATION For all roles at Elicit, we use a data-backed compensation framework to make sure our salaries are market-competitive, equitable, and simple. For this role, we're targeting starting ranges of: - Career (L3): $185-220K + equity - Senior (L4): $220-260K + equity - Expert/Staff (L5): $250-320K + significant equity We're optimizing for a hire who can contribute at a L4/senior-level or above. We'd love to meet staff/principal level contributors as well. We also offer above-market equity for all roles at Elicit, as well as employee-friendly equity terms. JOIN US!
QA Lead, Robotics
Dyna Robotics builds general-purpose robots powered by a proprietary embodied AI foundation model with top-in-industry generalization and real-world performance. Already deployed with customers across multiple industries, our robots do commercial-grade work in the physical world. Our team comes from Google DeepMind, Meta, and Cruise, and we're backed by CRV, First Round, and other leading investors. THE ROLE Build and lead the QA function at Dyna across our full stack — cloud inference servers to Linux-based IoT devices on the factory floor. Real-world robotics cannot be fully validated in simulation; physical hardware behavior and real-environment variability require hands-on QA judgment. You will hire and mentor a QA team, define testing standards, and stay hands-on with critical validation — balancing automation with the physical testing our domain demands. We expect aggressive use of AI tools (LLM code generation, AI test assistants, GenAI test design) to multiply team output. WHAT YOU’LL DO - People Management: Hire, develop, and retain a QA team. Provide career development and feedback, delegate ownership to grow engineers, and monitor team energy to prevent burnout. Drive recruiting and foster a culture of intellectual honesty and psychological safety. - QA Strategy & Cross-Functional Alignment: Own the QA strategy and roadmap. Align priorities with company vision, translate quality risks into business impact, and drive alignment across robotics, ML, and infrastructure teams. Shield the team from organizational noise. - Test Automation & CI/CD (primary focus): Build and maintain scalable automated test frameworks across robot software, cloud, and edge devices. Partner with developers to continuously expand CI coverage and shift testing left, minimizing manual testing over time. - Release Validation & Benchmarking: Own and automate release checklists (inference server, station-side deployment). Run A/B testing for robotic tasks to measure success rates and latency. Manual validation where automation is not yet feasible. - AI Model Evaluation & Regression Testing: Design and execute evaluation pipelines that validate AI model and full-system performance across model, software, and hardware updates. Define and track key metrics (task success rate, cycle time, generalization across environments), build automated regression benchmarks, and gate releases on evaluation results to prevent regressions from reaching production. - System Monitoring & Alerting: Use tools like Datadog and Grafana to track system health, identify performance regressions, and maintain observability across production environments. - Physical Hardware QA & Integration: Validate real-robot behavior that simulation cannot cover — mechanical repeatability, sensor calibration drift, and edge cases on physical hardware. Troubleshoot integration issues across firmware, drivers, and application software. - Process & Documentation: Establish and maintain standard operating procedures (SOPs) for hardware and software validation; drive continuous process improvement. WHAT YOU’LL BRING - Education: Bachelor's or Master's in Computer Science, Robotics, or a related field. - Experience: 7+ years in QA, SRE, or Robotics Engineering with hands-on experience testing real hardware systems (not purely software/simulation), including 2+ years in a team lead or management role. - Technical Skills: Proficiency in Python. Comfortable navigating build systems, running test pipelines, and debugging failures across the stack — not expected to develop features. - Systems: Strong Linux administration skills and experience with IoT/edge device deployments. - Testing Tools: Deep experience in developing and managing automated testing frameworks; familiarity with modern AI/ML testing, model evaluation, and regression benchmarking techniques; simulation (Gazebo, MuJoCo), and CI/CD tools (Docker, Kubernetes). - AI Tools: Track record of adopting AI/LLM tools to accelerate QA workflows (test generation, bug triage, automation scaffolding). Must actively seek out and integrate new AI tools. - Hardware QA: Hands-on experience with physical robot testing, hardware bring-up, or manufacturing QA — understanding failure modes that only appear on real hardware. - Soft Skills: Strong leadership and people management; effective communicator across technical and non-technical stakeholders. BONUS POINTS FOR - Experience with computer vision metrics (image quality, depth validation, camera calibration). - Experience with ML model evaluation, defining performance metrics for AI systems, or building automated regression pipelines for ML models. - Previous experience in a fast-paced startup environment. At Dyna Robotics, we build technology for the real world, which requires a team as diverse as the environments our robots inhabit. We are an equal opportunity employer committed to technical rigor and mutual respect. Don’t let a checklist stop you. Data shows that underrepresented groups often only apply if they meet 100% of the criteria. We value problem-solving and grit over keyword matching. If you’re passionate about robotics, no matter your discipline, we want to hear from you, even if you don't check every box.
Applied AI Researcher, System Self-Improvement
ABOUT DISTYL AI Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys. Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. WHAT WE ARE LOOKING FOR At Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used. Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org. KEY RESPONSIBILITIES - The System Self-Improvement team builds architectures that continuously evaluate and enhance their own performance. Researchers design feedback-driven systems capable of detecting weaknesses, generating corrective hypotheses, and implementing their own improvements through reflection, retraining, or workflow adaptation. The goal: build AI systems that compound in capability through use. - Researchers in Self-Improvement study how systems can form self-models—understanding when, why, and how they succeed or fail. They explore reflective reasoning, reward modeling, and self-evaluation techniques to enable autonomous evolution. This work bridges reinforcement learning, interpretability, and meta-optimization to pioneer continuously learning enterprise systems. WHO YOU ARE - Experience Building Feedback-Driven Systems: You’ve built or studied systems that monitor, score, and adapt—evaluators, retrievers, iterative refinement loops, or performance dashboards that close the feedback loop. - Experience Building with Models, Not Just Building Models: We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.). - Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done. - Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow. - Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI. - Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize. WHAT WE OFFER - The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package - 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible time off - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources - Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot - Complimentary in-office lunches and snacks provided - Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems - Ownership of high-impact projects across top enterprises - A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office. #LI-Hybrid We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
Applied AI Researcher, System Self-Construction
ABOUT DISTYL AI Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys. Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. WHAT WE ARE LOOKING FOR At Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used. Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org. KEY RESPONSIBILITIES - The System Self-Construction team builds systems that can build other systems. Researchers design architectures capable of autonomously generating, assembling, and refining sub-systems. This involves developing meta-learning loops, automated pipeline generation, and self-architecting frameworks that reduce the human bottleneck in complex system creation. - Researchers in Self-Construction study recursive design principles: how systems represent their own construction processes, evaluate them, and evolve. They draw from meta-learning, program synthesis, and evolutionary computation to explore what it means for a system to “understand” and redesign itself. Their work defines the frontier of self-referential, generative system architectures. WHO WE ARE - Experience Building Modular and Composable Systems: You’ve engineered architectures where components interact dynamically (e.g. graph-based planners, agent orchestration frameworks, workflow engines, or automated pipeline builders). - Experience Building with Models, Not Just Building Models: We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.). - Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done. - Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow. - Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI. - Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize. WHAT WE OFFER - The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package - 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible time off - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources - Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot - Complimentary in-office lunches and snacks provided - Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems - Ownership of high-impact projects across top enterprises - A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office. #LI-Hybrid We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
Applied AI Researcher, System Discovery
ABOUT DISTYL AI Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys. Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. WHAT WE ARE LOOKING FOR At Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used. Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org. KEY RESPONSIBILITIES - Analogous to hypothesis generation in the space of AI for scientific discovery, the System Discovery team focuses on identifying entirely new classes of AI systems. Researchers explore a wide range of architectures, modalities, and compositions to uncover how AI can most effectively reshape work - Draw connections across disparate domains to uncover new system archetypes. Experiment with unconventional problem definitions and develop prototypes that reveal new categories of human–AI collaboration WHO YOU ARE - Experience Building a Wide Breadth of Systems: You’ve built across many paradigms—retrieval pipelines, reasoning agents, evaluation harnesses, multimodal integrations, or workflow graph systems—and can abstract what makes each effective - Experience Building with Models, Not Just Building Models: We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.) - Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done - Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow - Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI - Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize WHAT WE OFFER - The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package - 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible time off - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources - Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot - Complimentary in-office lunches and snacks provided - Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems - Ownership of high-impact projects across top enterprises - A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office. #LI-Hybrid We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
Senior Research Engineer
About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Read more about the research team's work here: https://decagon.ai/blog/introducing-decagon-labs The Research team develops the model and decision-making stack that powers Decagon’s conversational agents for enterprise support. We research, adapt, and implement state-of-the-art techniques in model training, prompting, orchestration, and evaluation in order to make our agents more accurate, robust, and efficient in real-world deployments. Our goal is to push the frontier of applied conversational AI: agents that reliably understand nuanced intent, track long context, and take the right actions under uncertainty. We measure success the way customers feel it: higher resolution rates, better user satisfaction, and consistent behavior at scale. About the Role As a Senior Research Engineer, you’ll be responsible for building industry-leading conversational AI models that power Decagon’s agent, and taking them all the way from idea to production. You’ll own multi-quarter initiatives that push the agent’s reliability, capability, and efficiency forward, and you’ll design and implement frontier approaches for training, evaluation, and orchestration across the system. We’re looking for strong engineers who want to build the core models and algorithms behind our AI agents. People here own their work end-to-end, ship real improvements, and are trusted to make high-impact technical decisions. In this role, you will - Lead research and engineering efforts to improve core conversational capabilities in production, including instruction following, retrieval, memory, and long-horizon task completion - Build and iterate on end-to-end models and pipelines that optimize for quality, efficiency, and user experience - Partner with platform and product engineers to integrate new models into production systems - Break down ambiguous research ideas into clear, iterative milestones and roadmaps. Your background looks something like this - 4+ years of experience in AI/ML engineering or research. - Prior experience post-training and deploying LLMs in production environments. - Fluency in Python and modern ML tooling (training, evaluation, data pipelines) - Track record of taking research ideas from prototype → reliable, measurable production impact Compensation $200K – $400K + Offers Equity This range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact. In addition to base salary, we offer competitive equity. Final compensation may vary based on location within the United States. Benefits We proudly offer the following benefits for our full-time employees: - Medical, Dental, and Vision benefits for you and your family - Life Insurance and Disability Benefits - Retirement Plan (e.g., 401K, pension) - Parental Leave - Fertility and family building benefits through Carrot - Monthly stipend to support your wellness, lifestyle, and work-life balance - Daily lunches and snacks in the office to keep you at your best - Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave) These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.
Research Engineer
About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Read more about the research team's work here: https://decagon.ai/blog/introducing-decagon-labs The Research team develops the model and decision-making stack that powers Decagon’s conversational agents for enterprise support. We research, adapt, and implement state-of-the-art techniques in model training, prompting, orchestration, and evaluation in order to make our agents more accurate, robust, and efficient in real-world deployments. Our goal is to push the frontier of applied conversational AI: agents that reliably understand nuanced intent, track long context, and take the right actions under uncertainty. We measure success the way customers feel it: higher resolution rates, better user satisfaction, and consistent behavior at scale. About the Role As a Research Engineer, you’ll be responsible for building industry-leading conversational AI models that power Decagon’s agent, and taking them all the way from idea to production. You’ll own multi-quarter initiatives that push the agent’s reliability, capability, and efficiency forward, and you’ll design and implement frontier approaches for training, evaluation, and orchestration across the system. We’re looking for strong engineers who want to build the core models and algorithms behind our AI agents. People here own their work end-to-end, ship real improvements, and are trusted to make high-impact technical decisions. In this role, you will - Lead research and engineering efforts to improve core conversational capabilities in production, including instruction following, retrieval, memory, and long-horizon task completion - Build and iterate on end-to-end models and pipelines that optimize for quality, efficiency, and user experience - Partner with platform and product engineers to integrate new models into production systems - Break down ambiguous research ideas into clear, iterative milestones and roadmaps. Your background looks something like this - 2+ years of experience in AI/ML engineering or research. - Prior experience post-training and deploying LLMs in production environments. - Fluency in Python and modern ML tooling (training, evaluation, data pipelines) - Track record of taking research ideas from prototype → reliable, measurable production impact Compensation $200K – $400K + Offers Equity This range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact. In addition to base salary, we offer competitive equity. Final compensation may vary based on location within the United States. Benefits We proudly offer the following benefits for our full-time employees: - Medical, Dental, and Vision benefits for you and your family - Life Insurance and Disability Benefits - Retirement Plan (e.g., 401K, pension) - Parental Leave - Fertility and family building benefits through Carrot - Monthly stipend to support your wellness, lifestyle, and work-life balance - Daily lunches and snacks in the office to keep you at your best - Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave) These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.
Agent Data Scientist
About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team When a Fortune 500 hands its customer experience to an AI agent, it is one of the largest bets the business will make that year — and enterprises of that size do not make it on a demo. Each customer has their own requirements for how an AI agent should be evaluated, and the narratives we build have to start there and hold up long after the decision is made. Data plays a central role in almost every one of those narratives, which is why Agent Data Science exists. A deployment is evaluated by many stakeholders inside the customer's organization, including senior leaders, customer experience teams, and technical functions, each with their own criteria for success. You own how performance is defined, measured, and demonstrated against these criteria, from translating them into metrics we operationalize and deliver, to improving the ones that are key to each evaluation. You hold that from the first pre-sales evaluation through the life of the account. Our team sits within Agent Product Management and focuses mostly on our largest and most complex deployments, while supporting the data needs of Decagon customers more broadly. We are small relative to that surface area, which means the scope you own is very wide and exceptionally cross-functional. The work compounds accordingly: every metric you define on a flagship deployment becomes the default for the deals that follow, and the frameworks you build outlive any single account. Demonstrating the value of our product is everyone's responsibility, not only ours. So the primary leverage we create comes from making the rest of the organization better at it. That is what lets us stay focused on the hardest and most novel measurement problems our customers bring us, which gives this team real influence over the long-term product roadmap. About the Role Most of your time will be spent working directly with customers to establish what should be measured and then building what produces it. Usually, the hard part comes from driving alignment, not the analysis itself. You own both reporting on performance and improving it, working alongside the Agent Product Managers, Agent Strategy Managers, Strategic Account Directors, and Agent Deployment Engineers on each account. Beyond the work you do with individual customers, you will build the product features and frameworks that make everyone else at Decagon better at this work. This is a rare combination: the rigor of a strong quant, the presence of a trusted executive advisor, and the ownership of a founder. If you have ever wanted to own the metric rather than report on it, this role was designed for you. This is a senior individual contributor role. You are trusted to make high-stakes decisions independently and own outcomes. In this role, you will - Work directly with customers to define the metrics that will be used to measure performance, then operationalize them so that both sides use and trust them. - Own the delivery of those metrics, where transparent access to data helps reinforce the narrative we build with the customer. - Own improving the metrics that matter most on your accounts, from diagnosing what drives performance to designing the experiments and driving the changes that move them. - Scope and build the product features, tools, and frameworks that empower the rest of Decagon to do more of this work themselves. - Define what success looks like for new initiatives that have no precedent. As Decagon’s product continues to evolve, new surface areas will emerge where the right way to measure success has to be invented rather than applied. - Run tight feedback loops into Product, Engineering, and Research, shaping the product based on what you learn measuring our most demanding deployments. Your background looks something like this - 5+ years in data science, analytics, or another quantitative role where you drove analyses end to end and used them to move decisions, whether at a high-growth technology company, in consulting, or in a forward-deployed or solutions role. - Exceptional judgment when interpreting metrics. You think through the edge cases quickly, and you can see how the same number will be read by someone arguing for us and against us. This includes 80/20 intuition on what’s most important vs. analyzing everything. - Comfort in fast-moving, ambiguous situations where you shape the approach as much as you implement it. Given a question with no established right answer, you can identify the best available option and defend it. - Strong independence. You operate with very little day-to-day direction, set your own priorities against a broad mandate, and bring decisions rather than questions. You are comfortable being the person who defines the work rather than the person who receives it. - Ability to bring stakeholders to a shared definition of success, even when they arrive with different priorities and different levels of technical depth. - Strong technical fundamentals. Fluency in SQL and Python, and comfort working with large volumes of messy, unstructured conversational data. Even better if you have - A history of building internal tooling that gained meaningful adoption, and the judgment to recognize when a problem should stay a one-off. - Experience working on AI products in production, including evaluating LLM or agent behavior and building the evaluations yourself. Compensation $165K-$215K + Equity Benefits We proudly offer the following benefits for our full-time employees: - Medical, Dental, and Vision benefits for you and your family - Life Insurance and Disability Benefits - Retirement Plan (e.g., 401K, pension) - Parental Leave - Fertility and family building benefits through Carrot - Monthly stipend to support your wellness, lifestyle, and work-life balance - Daily lunches and snacks in the office to keep you at your best - Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave) These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.
Staff Software Engineer, SIMD Kernels
At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration. We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. Location: Santa Clara, CA headquarters, or any of our regional offices. Will consider remote. The Role: Staff Software Engineer, SIMD Kernels What you will do: As a member of the SIMD Kernels team, you will help productize the software stack for our AI compute engine. You will develop, enhance, and maintain software kernels for ML operators—such as softmax, layer norm, and activation functions—for next‑generation AI hardware. You will also build solutions that make our SDK intuitive for developers to use and analyze performance. You have experience building software kernels for modern hardware architectures and understand how to map algorithms and AI‑framework computational graphs onto those architectures. You’re comfortable working across the full toolchain and navigating hardware–software co‑design trade‑offs. You can deliver and scale high‑quality software quickly in a fast‑moving development environment. What you will bring: Minimum: - MS or PhD in computer engineering, math, physics, or a related degree with 5+ years of industry experience. - Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals. - Proficient in C/C++ and Python development in Linux environment and using standard development tools. - Experience in implementing algorithms in C/C++ and Python. - Experience in implementing algorithms for specialized hardware such as FPGAs, DSPs, GPUs, AI accelerators using libraries such as CUDA, etc. - Experience in implementing operators commonly used in ML workloads—GEMMs, Convolutions, softmax, layer normalization, pooling, etc. - Self-motivated team player with a strong sense of ownership and leadership. Preferred: - Prior startup, small team, or incubation experience. - Experience with ML frameworks such as TensorFlow and/or PyTorch. - Experience working with ML compilers and algorithms, such as MLIR, LLVM, TVM, Glow, etc. - Experience with a deep learning framework (such as PyTorch or TensorFlow) and ML models for CV, NLP, or recommendation. - Experiences in development for embedded SIMD vector processors such as Tensilica. - Work experience at a cloud provider or AI compute/subsystem company. Equal Opportunity Employment Policy d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day. d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
Senior Staff Software Engineer - Kernels
At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration. We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. The Role: Senior Staff Software Engineer - Kernels Location: Hybrid, working onsite at our Belgrade, Serbia, office 3-5 days per week. What you will do: The role requires you to be part of the team that helps productize the SW stack for our AI compute engine. As part of the software team, you will be responsible for the development, enhancement, and maintenance of software kernels for next-generation AI hardware. You possess experience building software kernels for HW architectures. You possess a very strong understanding of various hardware architectures and how to map algorithms to the architecture. You understand how to map computational graphs generated by AI frameworks to the underlying architecture. You have had past experience working across all aspects of the full-stack toolchain and understand the nuances of what it takes to optimize and trade off various aspects of hardware-software co-design. You can build and scale software deliverables in a tight development window. You will work with a team of compiler experts to build out the compiler infrastructure, working closely with other software (ML and systems) and hardware (mixed signal, DSP, and CPU) experts in the company. What you will bring: Minimum: - MS in computer engineering, math, physics, or a related degree with 10+ years of industry experience or a PhD in computer engineering, math, physics, or a related degree with 1+ years of industry experience. - Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals. - Proficient in C/C++ and Python development in Linux environments and using standard development tools. - Experience implementing algorithms in high-level languages such as C/C++ and Python. - Experience implementing algorithms for specialized hardware such as FPGAs, DSPs, GPUs, and AI accelerators using libraries such as CUDA, etc. - Experience in implementing operators commonly used in ML workloads—GEMMs, Convolutions, BLAS, SIMD operators for operations like softmax, layer normalization, pooling, etc. - Experience with development for embedded SIMD vector processors such as Tensilica. - Self-motivated team player with a strong sense of ownership and leadership. Preferred: - Prior startup, small team, or incubation experience. - Experience with ML frameworks such as TensorFlow and/or PyTorch. - Experience working with ML compilers and algorithms, such as MLIR, LLVM, TVM, Glow, etc. - Experience with a deep learning framework (such as PyTorch or TensorFlow) and ML models for CV, NLP, or recommendation. - Work experience at a cloud provider or AI compute/subsystem company. Equal Opportunity Employment Policy d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day. d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
Senior Software Engineer - Kernels
At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration. We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. Location: Hybrid, working onsite at our Belgrade, Serbia, office 3-5 days per week. The Role: Senior Software Engineer - Kernels What you will do: The role requires you to be part of the team that helps productize the SW stack for our AI compute engine. As part of the software team, you will be responsible for the development, enhancement, and maintenance of software kernels for next-generation AI hardware. You possess experience building software kernels for HW architectures. You possess a very strong understanding of various hardware architectures and how to map algorithms to the architecture. You understand how to map computational graphs generated by AI frameworks to the underlying architecture. You have had past experience working across all aspects of the full-stack toolchain and understand the nuances of what it takes to optimize and trade off various aspects of hardware-software co-design. You can build and scale software deliverables in a tight development window. You will work with a team of compiler experts to build out the compiler infrastructure, working closely with other software (ML, systems) and hardware (mixed signal, DSP, CPU) experts in the company. What you will bring: Minimum: - MS in computer engineering, math, physics, or a related degree with 5+ years of industry experience or PhD in computer engineering, math, physics, or a related degree with 1+ years of industry experience - Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals - Proficient in C/C++ and Python development in Linux environments and using standard development tools - Experience implementing algorithms in high-level languages such as C/C++ and Python. - Experience implementing algorithms for specialized hardware such as FPGAs, DSPs, GPUs, and AI accelerators using libraries such as CUDA, etc. - Experience in implementing operators commonly used in ML workloads—GEMMs, Convolutions, BLAS, SIMD operators for operations like softmax, layer normalization, pooling, etc. - Experience with development for embedded SIMD vector processors such as Tensilica. - Self-motivated team player with a strong sense of ownership and leadership Preferred: - Prior startup, small team, or incubation experience - Experience with ML frameworks such as TensorFlow and/orPyTorch - Experience working with ML compilers and algorithms, such as MLIR, LLVM, TVM, Glow, etc. - Experience with a deep learning framework (such as PyTorch or TensorFlow) and ML models for CV, NLP, or recommendation - Work experience at a cloud provider or AI compute/subsystem company Equal Opportunity Employment Policy d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day. d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
Principal Software Engineer, Kernels
At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration. We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. Location: Hybrid, working onsite at our Santa Clara, CA, headquarters 3+ days per week. The Role: Principal Software Engineer, Kernels What you will do: The role requires you to be part of the team that helps productize the SW stack for our AI compute engine. As part of the software team, you will be responsible for the development, enhancement, and maintenance of software kernels for next-generation AI hardware. You possess experience building software kernels for HW architectures. You possess a very strong understanding of various hardware architectures and how to map algorithms to the architecture. You understand how to map computational graphs generated by AI frameworks to the underlying architecture. You have had past experience working across all aspects of the full-stack toolchain and understand the nuances of what it takes to optimize and trade off various aspects of hardware-software co-design. You can build and scale software deliverables in a tight development window. You will work with a team of compiler experts to build out the compiler infrastructure, working closely with other software (ML and systems) and hardware (mixed signal, DSP, and CPU) experts in the company. What you will bring: Minimum: - MS in computer engineering, math, physics, or a related degree with 10+ years of industry experience or a PhD in computer engineering, math, physics, or a related degree with 5+ years of industry experience. - Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals. - Proficient in C/C++ and Python development in Linux environments and using standard development tools. - Experience implementing algorithms in high-level languages such as C/C++ and Python. - Experience implementing algorithms for specialized hardware such as FPGAs, DSPs, GPUs, and AI accelerators using libraries such as CUDA, etc. - Experience in implementing operators commonly used in ML workloads—GEMMs, Convolutions, BLAS, SIMD operators for operations like softmax, layer normalization, pooling, etc. - Experience with development for embedded SIMD vector processors such as Tensilica. - Self-motivated team player with a strong sense of ownership and leadership. Preferred: - Prior startup, small team, or incubation experience. - Experience with ML frameworks such as TensorFlow and/orPyTorch. - Experience working with ML compilers and algorithms, such as MLIR, LLVM, TVM, Glow, etc. - Experience with a deep learning framework (such as PyTorch or TensorFlow) and ML models for CV, NLP, or recommendation. - Work experience at a cloud provider or AI compute/subsystem company. Equal Opportunity Employment Policy d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day. d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
Engineering Manager, AI Platform
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: As an Engineering Manager on the Managed AI team at Crusoe, you will play a critical role in leading and scaling a team of engineers building our next-generation platform for the full lifecycle of Large Language Models (LLMs). You will be responsible for guiding the team through the design and implementation of highly scalable, fault-tolerant infrastructure. You will lead a team of high-caliber engineers, combining technical expertise with strong people leadership. This role is central to a fast-growing, strategically important organization, where you will shape the engineering roadmap and drive the execution of key projects. Success requires close partnership with product, business, and platform stakeholders to deliver a performant and reliable platform that powers AI for customers globally. This is an on-site role based in San Francisco, CA, or Sunnyvale, CA, requiring in-office presence What You’ll Be Working On: - Team Leadership & Strategy: - Lead, mentor, and grow a team of high-caliber software engineers on Crusoe’s - Partner with leadership to define and execute the AI roadmap, setting clear goals and driving accountability. - Cultivate a high-performance, collaborative engineering culture grounded in technical excellence. - Technical Execution: - Oversee the architecture and development of core AI services: fault-tolerant task queues, model management systems, cost-aware scheduling, etc. - Ensure delivery of scalable systems capable of handling millions of API requests per second. - Deliver an AI platform that can handle a large variety of load from training, to agentic execution infrastructure. - Collaboration and Influence: - Work cross-functionally with Product, Infrastructure, and GTM stakeholders. - Represent Engineering in strategic discussions to influence AI platform growth and customer adoption. - Promote knowledge sharing, technical mentorship, and the evolution of engineering processes. What You’ll Bring to the Team: - Leadership Experience: - 3+ years managing/leading high-performing engineering teams. - Ability to lead teams through ambiguity and align on complex technical goals. - Proven success hiring, developing, and retaining talent. - Technical Depth: - Hands-on experience with distributed and concurrent systems or AI infrastructure. - Deep knowledge of cloud-native environments, container orchestration, and SOAs. - Some familiarity with CPU & GPU performance, inference frameworks, or LLM systems is a strong plus. - Product & Delivery Focus: - Comfortable owning deliverables from design through production. - Strong collaboration skills, prioritizing clarity, context, and customer impact. - Experience in fast-paced startup or growth-stage environments. - Preferred Qualifications: - Background in Computer Science, Engineering, or a related technical field. - Proficiency in Python/GoLang/Rust. - Experience with Kubernetes, gRPC, and observability stacks. - Familiarity with open-source AI ecosystems (e.g., vLLM, Hugging Face, Triton). - Personal Attributes: - Growth-minded leader who leads and empowers others. - Excellent communicator and relationship builder. - Passionate about building world-class AI infrastructure and teams Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $215,000 - 260.000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Senior Forward Deployed Engineer (AI Agent) - UK
Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. About the role: At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers. We are focused on leveraging the latest technologies in Large Language Models (LLMs) and AI Agent systems, while ensuring that the solutions we develop are cost-effective, secure, and reliable. As an AI Agent Engineer , you'll be at the forefront of deploying AI agents that address real-world challenges. In this role, you will work closely with customers as well as our software and machine learning engineers, ensuring high-impact AI Agent deployments and contributing to the continuous improvement of our core AI platform. You’ll develop intelligent AI agents, integrate them seamlessly with external systems and offer hands-on technical expertise to ensure successful deployments.. This position requires strong engineering skills, adaptability, and customer engagement. If you are self-driven, analytical, and eager to leverage AI in practical applications, this role is for you. What You'll Do : - AI Agent Development: Develop, configure, deploy, and optimize AI agents using Cresta’s AI platform and tools. - System Integration: Build AI agent integrations with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration. - Performance Optimization: Optimize AI agent performance (e.g. fine-tune prompts and configurations) and troubleshoot issues in complex enterprise environments. - Requirements Gathering: Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI Agent solutions. - Demos & Iteration: Conduct interactive demos and present compelling proof-of-concepts to prospective customers, proactively gather feedback, and iteratively refine solutions to meet objectives. - Project Coordination: Define project milestones, create implementation plans, and coordinate execution with internal teams to ensure on-time delivery. Provide a tight feedback loop to our product and engineering teams — identifying gaps, building custom tooling, and influencing the roadmap through real-world deployment learnings. - Partner Cross-Functionally: Collaborate with PMs to define agent goals, iterate rapidly based on customer feedback, and shape product capabilities that maximize customer ROI. - Technical Guidance: Serve as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage. Provide technical guidance on AI agent best practices, including architecture design, security considerations, and scalability planning. What We're Looking For: - Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. - Experience: 3+ years of experience of full time working experience in software development/ consulting, AI/ML engineering, or system integration, or as FDE - Programming Skills: Proficiency in Python and Golang, with the ability to write clean, efficient code. - AI/ML Knowledge: Familiarity with AI/ML concepts. Hands-on experience with large language models (LLMs), and prompt engineering techniques are strongly preferred. - AI Agent Frameworks: Strong understanding of general AI agent frameworks, function calling, and retrieval-augmented generation (RAG). Hands-on experience of building such a system is strongly preferred. - Cloud & DevOps: Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, containerization, monitoring). - Integration Expertise: Hands-on experience with integrating systems via APIs, webhooks, and data pipelines. - Communication: Excellent communication and project management skills. - Analytical Approach: Ability to use data-driven decision-making, including A/B testing and performance monitoring, to refine solutions. - Collaborative Builder: You thrive in cross-functional environments, working hand-in-hand with PMs and engineers to turn real customer problems into scalable AI solutions. Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. This posting will be used to fill a newly-created role. Our use of AI in recruiting: We may use AI tools in our recruiting process, which require human review and oversight. If you have questions about our use of AI or wish to opt out, please contact recruiting@cresta.ai (if you are opting out, please use the subject ‘Opt-Out’ in your email). Recording & AI transcription: We do not authorize candidates to record or use AI transcription of any interview by phone, notetaker app, AI glasses, or other device. Candidates may request an exception or accommodation for review during the interview process as needed. Recruiting impersonation scams: We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta .ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.
Senior Forward Deployed Engineer (AI Agent) - Germ...
Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. About the role: At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers. We are focused on leveraging the latest technologies in Large Language Models (LLMs) and AI Agent systems, while ensuring that the solutions we develop are cost-effective, secure, and reliable. As an AI Agent Engineer , you'll be at the forefront of deploying AI agents that address real-world challenges. In this role, you will work closely with customers as well as our software and machine learning engineers, ensuring high-impact AI Agent deployments and contributing to the continuous improvement of our core AI platform. You’ll develop intelligent AI agents, integrate them seamlessly with external systems and offer hands-on technical expertise to ensure successful deployments.. This position requires strong engineering skills, adaptability, and customer engagement. If you are self-driven, analytical, and eager to leverage AI in practical applications, this role is for you. What You'll Do : - AI Agent Development: Develop, configure, deploy, and optimize AI agents using Cresta’s AI platform and tools. - System Integration: Build AI agent integrations with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration. - Performance Optimization: Optimize AI agent performance (e.g. fine-tune prompts and configurations) and troubleshoot issues in complex enterprise environments. - Requirements Gathering: Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI Agent solutions. - Demos & Iteration: Conduct interactive demos and present compelling proof-of-concepts to prospective customers, proactively gather feedback, and iteratively refine solutions to meet objectives. - Project Coordination: Define project milestones, create implementation plans, and coordinate execution with internal teams to ensure on-time delivery. Provide a tight feedback loop to our product and engineering teams — identifying gaps, building custom tooling, and influencing the roadmap through real-world deployment learnings. - Partner Cross-Functionally: Collaborate with PMs to define agent goals, iterate rapidly based on customer feedback, and shape product capabilities that maximize customer ROI. - Technical Guidance: Serve as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage. Provide technical guidance on AI agent best practices, including architecture design, security considerations, and scalability planning. What We're Looking For: - Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. - Experience: 3+ years of experience of full time working experience in software development/ consulting, AI/ML engineering, or system integration, or as FDE - Programming Skills: Proficiency in Python and Golang, with the ability to write clean, efficient code. - AI/ML Knowledge: Familiarity with AI/ML concepts. Hands-on experience with large language models (LLMs), and prompt engineering techniques are strongly preferred. - AI Agent Frameworks: Strong understanding of general AI agent frameworks, function calling, and retrieval-augmented generation (RAG). Hands-on experience of building such a system is strongly preferred. - Cloud & DevOps: Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, containerization, monitoring). - Integration Expertise: Hands-on experience with integrating systems via APIs, webhooks, and data pipelines. - Communication: Excellent communication and project management skills. - Analytical Approach: Ability to use data-driven decision-making, including A/B testing and performance monitoring, to refine solutions. - Collaborative Builder: You thrive in cross-functional environments, working hand-in-hand with PMs and engineers to turn real customer problems into scalable AI solutions. Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. This posting will be used to fill a newly-created role. Our use of AI in recruiting: We may use AI tools in our recruiting process, which require human review and oversight. If you have questions about our use of AI or wish to opt out, please contact recruiting@cresta.ai (if you are opting out, please use the subject ‘Opt-Out’ in your email). Recording & AI transcription: We do not authorize candidates to record or use AI transcription of any interview by phone, notetaker app, AI glasses, or other device. Candidates may request an exception or accommodation for review during the interview process as needed. Recruiting impersonation scams: We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta .ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.
Forward Deployed Engineering Intern (AI Agent)
Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun , the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu , the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi , an early member of Open AI. Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta. About the role: At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers. We are focused on leveraging the latest technologies in Large Language Models (LLMs) and AI Agent systems, while ensuring that the solutions we develop are cost-effective, secure, and reliable. As a Forward Deployed Engineering Intern on the AI Agent team, you’ll support real-world AI deployments and gain hands-on experience with AI systems in customer environments. What You'll Do : - Assist in developing and configuring AI agents using Cresta’s platform tools. - Help build and test integrations between AI agents and external systems (like APIs or data sources). - Support performance tuning and troubleshooting of AI agent prototypes. - Work with customers and internal engineering teams to understand requirements and iterate on solutions. - Participate in team demos, feedback sessions, and learning opportunities. - This role provides mentorship and exposure to customer-facing technical problem solving in a fast-moving AI/Product environment. What We're Looking For: - Enrolled in a Bachelor’s or Master’s degree program in Computer Science, Engineering, or a related field. - Experience writing code in Python (or another general-purpose language). - Basic understanding of programming fundamentals and software development best practices. - Strong interest in artificial intelligence, machine learning, or software engineering. - Excellent communication skills and willingness to collaborate with teammates and customers. Nice-to-Haves - Experience with APIs, web development, or cloud platforms. - Prior coursework or projects involving AI/ML concepts or LLMs. - Exposure to prompt engineering or similar experimentation. Compensation: CAD $30-50/hour Perks: - Lunch and dinner can be expensed (up to $25 each) while working in the office - Well-stocked office with snacks and drinks - Convenient downtown location near Union Station (public transit accessible) - PTO: 4 days - Exposure to cutting-edge AI systems in production This posting will be used to fill a newly-created role. We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai Our use of AI in recruiting: We may use AI tools in our recruiting process, which require human review and oversight. If you have questions about our use of AI or wish to opt out, please contact recruiting@cresta.ai (if you are opting out, please use the subject ‘Opt-Out’ in your email). Recording & AI transcription: We do not authorize candidates to record or use AI transcription of any interview by phone, notetaker app, AI glasses, or other device. Candidates may request an exception or accommodation for review during the interview process as needed. Recruiting impersonation scams: We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta .ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.
Solution Specialist, AI Runtime Services
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll Do: As CoreWeave turns raw GPU capacity into production-grade AI services, it is launching new ways for customers to run, scale, and serve AI workloads, and those new services need a market-maker. As a Solution Specialist for AI Runtime Services, you open new market opportunities across the execution layer (high-throughput, low-latency model serving through our Inference platform, and secure, isolated execution through Sandboxes) and drive the initial adoption of these offerings with the earliest customers and industries to need them. You channel what you learn into the product roadmap and make the broader sales and solution architecture organization fluent in the value runtime services create for new customers. About the role: As a Solution Specialist for AI Runtime Services, you work at the leading edge of how CoreWeave brings new runtime offerings to market. Rather than running an existing motion, you create one: you take newly launched services like Inference and Sandboxes into new accounts and new industries, prove their value with the first wave of customers operationalizing AI at scale, and establish the playbooks sales and solution architects use to repeat those wins. You are the field's authoritative voice back to engineering, translating what early adopters need around serving frameworks, batching, and execution isolation into the priorities that shape the AI Runtime Services roadmap. In this role, you will: - Own the commercial and technical strategy for net new customer wins in AI runtime infrastructure, where execution performance, deployment flexibility, and operational reliability are the primary buying triggers. - Drive new business opportunities where inference latency, throughput bottlenecks, workload isolation requirements, or operational complexity are barriers to scaling AI on CoreWeave. - Develop deep expertise across the AI runtime landscape (model serving architectures, execution scheduling, containerized AI workloads, and secure multi-tenant compute), using CoreWeave's Inference and Sandboxes products as flagship examples of what best-in-class runtime looks like. - Translate customer requirements around serving frameworks (e.g., vLLM, TensorRT-LLM, TGI), batching strategies, and execution isolation into specific product feedback that shapes the AI Runtime Services roadmap. - Develop deal structures, technical playbooks, and benchmark narratives that help sales and SA teams accelerate runtime-sensitive opportunities across the full spectrum of AI deployment patterns. - Engage directly with enterprise and research buyers as the authoritative voice on runtime performance tradeoffs, cost-per-token economics, and the architectural decisions that separate prototype deployments from production-scale AI systems. - Design the commercial framework for large-scale runtime deployment deals, including throughput modeling, GPU utilization commitments, and SLA structures that support enterprise closings. - Partner with product and infrastructure teams to maintain a competitive edge on serving efficiency, execution isolation, and operational reliability across active and prospective customer deployments. Who You Are: - 10+ years of experience in distributed systems, ML infrastructure, or production AI engineering, with a track record of applying that expertise to drive customer outcomes and revenue. - 5+ years working with AI runtime systems (model serving, inference optimization, containerized workload execution, or real-time ML pipelines) in a customer-facing or deal-shaping capacity. - Deep working knowledge of how AI workloads execute at runtime: serving frameworks, batching strategies, GPU memory management, and the performance levers that determine throughput and latency at scale (with specific familiarity with products like vLLM, TensorRT-LLM, or Triton). - Experience with sandboxed and isolated execution environments (microVM architectures, container runtimes, secure multi-tenant scheduling) and how execution isolation requirements shape platform selection decisions. - Strong understanding of GPU memory hierarchies, model parallelism strategies, and how runtime architecture decisions translate into cost, latency, and scalability outcomes for enterprise customers. - Familiarity with Kubernetes-native runtime orchestration (autoscaling, scheduling policies, GPU operators) and how it impacts workload portability, operational complexity, and platform stickiness. - Ability to benchmark, explain, and commercially position runtime performance differences across deployment patterns, instance types, and serving configurations. Preferred: - Experience driving new business or shaping product strategy in industries with high-throughput AI runtime demands, such as generative AI applications, autonomous systems, financial modeling, or developer platforms. - Prior background in technical sales, solution consulting, or product management supporting large-scale inference infrastructure or AI platform decisions. - Deep understanding of cost-per-token economics, inference fleet optimization, and the commercial tradeoffs between on-demand, reserved, and spot GPU capacity for runtime workloads. - Advanced degree in Computer Science, Machine Learning, or Engineering, or equivalent experience with a demonstrated ability to operate at the intersection of technical architecture and commercial strategy. Wondering if you're a good fit? Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams, even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. - You love translating boardroom goals into technical reality: you can explain high-level business strategy and low-level runtime performance tradeoffs in the same meeting. - You love acting as the bridge: between high-level sales strategy and deep ML infrastructure engineering. - You are an expert at navigating "The Room": you have a proven ability to manage complex, multi-stakeholder technical evaluations without losing momentum. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees - Deliver Best-in-Class Client Experiences - Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $207,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Senior Software Engineer II, Applied Training
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll Do: A lab signs with CoreWeave. They have thousands of GPUs waiting. Their first month? Spent on cluster setup instead of research. Building deployment scripts, fighting container images, wiring up job orchestration. They came to train models. Instead, they're doing operations. This is the problem. We're building the Applied Training team to fix it. You'll be an early member of a small team, responsible for our Kubernetes-native research cluster platform, or the sandbox client for agentic training and evaluation, or possibly a new project altogether. The goal is specific: give every CoreWeave customer the research infrastructure that currently only exists inside frontier labs. In this role, you will: - Contribute to the roadmap for Applied Training — figure out what actually unlocks new workloads and what's just nice to have - Work directly and closely with customers, and other teams inside CoreWeave that are building cloud native primitives: compute, storage, networking, etc. - For the research cluster platform: design and build a complete research cluster experience — CLI, job configuration schema, Kubernetes operators, daemons — solving the problems researchers actually hit: code distribution, checkpoint-triggered evaluation, cross-cluster scheduling, programmatic job control - For sandbox infrastructure: own the Python SDK and work in a tight loop with the backend team, enabling RL training runs to spawn thousands of isolated containers for agent rollouts and agent benchmarks at scale - Write documentation for running popular OSS training frameworks on CoreWeave to unblock customers and help them succeed - Work with infrastructure teams and customers directly — the customers are large AI labs running thousands of GPUs; understand how they structure their internal supercomputing stacks and bring that knowledge back to what we build Who You Are: - 8–12+ years building distributed systems, ML infrastructure, or developer platforms - Real Kubernetes experience: custom controllers, operators, scheduling, CRDs, workload orchestration at scale — not just deploying things to Kubernetes or cluster administration - You understand what makes researchers productive: code distribution matters, fast iteration cycles matter, workflows that don't require becoming infrastructure experts matter - Familiarity with training: how distributed jobs get scheduled, how ranks initialize, what breaks at scale - You've shipped infrastructure that other people rely on daily — not prototypes, production systems - Strong communicator who can work with customers and translate researcher complaints into system designs Preferred: - Experience building internal ML platforms or research clusters at a company doing large-scale training - Familiarity with agentic AI: RL training with rollouts, agent evaluation, sandbox isolation for running untrusted code - Background with Slurm, Ray, or similar workload orchestration, and opinions on where they fall short - Experience with container runtimes, isolation (gVisor, Kata), or serverless platforms - OSS contributions to Kubernetes SIGs, Ray, PyTorch, or similar Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees - Deliver Best-in-Class Client Experiences - Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $182,000 - $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Senior Software Engineer - GPU Kernel Authoring &...
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . About the role: CoreWeave is the top-rated AI-cloud for high-performance GPU infrastructure across AI/ML, visual effects, rendering, and real-time inference. Our stack is engineered for speed, scale, and cost-efficiency—an unmatched alternative to traditional hyperscalers. At CoreWeave, infrastructure is the product. We're looking for a Senior Engineer for CoreWeave's Benchmarking & Performance team, focused on kernel authoring and optimization. You will write, profile, and tune the GPU kernels that sit on the critical path of large-scale model serving—squeezing maximum throughput and minimum latency out of every SM, tensor core, and byte of memory bandwidth. You will also aid us in achieving industry-leading end-to-end performance benchmarking publications such as MLPerf. You will be an owner who leads designs, raises engineering standards, and delivers measurable improvements to latency, throughput, and reliability across our inference stack. You'll partner with product, orchestration, and hardware teams to turn kernel-level wins into end-to-end gains and meet strict P99 SLAs at scale. - Author, profile, and optimize CUDA kernels—GEMMs, attention, MoE routing, quantization, KV-cache, and fused epilogues—on the critical path of LLM inference. - Optimize for the hardware: exploit tensor cores and tune occupancy, memory coalescing, shared-memory/register usage, and overlap of compute with data movement. - Use kernel-authoring DSLs and compilers to prototype and ship kernels quickly without sacrificing performance. - Benchmark rigorously: build reproducible microbenchmarks and roofline analyses, and validate that kernel-level wins translate to end-to-end latency/throughput gains across model-serving stacks (vLLM, TensorRT-LLM, llm-d, SGLang). - Implement and maintain benchmarking workflows for end-to-end MLPerf Inference (and Training) runs, including workload setup, cluster configuration, runbooks, and result validation. - Lead design reviews and drive architecture within the team; decompose multi-service work into clear milestones. - Mentor junior engineers; review cross-team designs and elevate coding/testing standards. - Help ensure reproducible, well-documented benchmarking and kernel-optimization processes. Who You Are: - 5+ years of experience building high-performance computing, GPU/accelerator software, or performance-critical systems. - Hands-on CUDA experience is required—you have written and optimized custom kernels and are fluent with the CUDA programming and memory model. - Deep understanding of GPU architecture and performance: tensor cores, warp/occupancy tuning, the memory hierarchy and bandwidth, NVLink/PCIe, and profiling with Nsight Compute/Systems. - Strong coding in C++ and Python; comfortable reading and writing low-level, performance-sensitive code. - Familiarity with model-serving stacks (vLLM, TensorRT-LLM, llm-d, SGLang) and the kernels that dominate their inference cost. - Strong communicator comfortable collaborating with cross-functional teams and external partners. Preferred: - Triton or Mojo for authoring custom GPU kernels — highly desired. - CuTe DSL for Python-based kernel authoring on NVIDIA GPUs. - JAX and its Pallas kernel language for authoring kernels on GPU/TPU. - HIP / ROCm and AMD GPU experience. - NCCL and collective-communication performance. - Experience with alternative accelerators such as Google TPUs and Meta's MTIA. - Familiarity with kernel-authoring DSLs and nano-compilers such as KNYFE and its Block DSL. - Experience with Kubernetes at production scale. - Experience with SUNK (Slurm on Kubernetes) / Slurm for scheduling large GPU jobs. - Experience running MLPerf submissions or similar large-scale audited benchmarks. - Contributions to OSS projects such as vLLM, SGLang, PyTorch, Triton, or CUTLASS. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Why CoreWeave? Help shape an industry-defining inference platform that enables teams to deploy generative AI and real-time applications at scale. If squeezing every last microsecond out of GPU kernels and delivering reliable model serving excites you, this is the place to build. We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees - Deliver Best-in-Class Client Experiences - Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Senior Product Marketing Manager, AI Training Infr...
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll Do: As Senior Product Marketing Manager for AI Training Infrastructure, you will own CoreWeave's AI Training Infrastructure story, all aspects of building and training a model, and partner on all post-training and optimization launches and narratives. The role is not organized around a product list. It is organized around what research and platform teams are actually trying to accomplish at this stage, and the infrastructure decisions that either let them move fast or slow them down. SUNK is the most differentiated expression of CoreWeave's answer to that problem, the product in this scope with the deepest operational proof at scale. The broader story spans CoreWeave Kubernetes Service and a growing Kubernetes-native training surface expanding independently of Slurm. That includes understanding where open source frameworks like Ray, SkyPilot, and Kueue fit in the conversation, where community debate is shaping buyer expectations, and how ecosystem partnerships factor into how teams evaluate and adopt training infrastructure. You are not inheriting four separate product stories and stitching them together. You are building the connective narrative across CoreWeave's training stack and the broader ML ecosystem it connects to, including the experiment tracking workflows, open source tooling, and practitioner communities that researchers already operate in. CoreWeave's integration with Weights and Biases connects infrastructure signals to the experiment tracking tools researchers already use. Part of this role is understanding how that integration shapes researcher perception of CoreWeave and building messaging around it. That means translating capabilities across the stack, topology-aware scheduling, bare-metal performance, Kubernetes-native lifecycle management, automated cluster health management, into messaging that resonates with AI research leaders, platform teams, and the wider ML researcher community beyond the largest labs. About the role: Positioning and messaging - Own the AI Training Infrastructure narrative for CoreWeave. That narrative is built on real credibility: CoreWeave infrastructure has been used to train many of the most widely used models in production today. Your job is to deepen and expand that story, building the strategic positioning framework that ties CoreWeave Kubernetes Service, SUNK, and SUNK Anywhere into a coherent market story, deciding how each product is positioned relative to the others, and ensuring that framework holds across every customer-facing surface. - Shape how CoreWeave competes in training-focused sales situations. That means owning the competitive positioning framework field teams use against alternative infrastructure approaches, the persona-specific messaging that translates infrastructure capabilities into outcomes research leaders and platform teams care about, and the launch narrative for new capabilities as they reach the market. Customer proof - Own the customer evidence strategy for AI Training Infrastructure. Decide which proof points matter for which buyers at which stage. Build the feedback loops that surface deployment insight from Solutions Architects and customer-facing engineers. Ensure that evidence reaches assets without losing specificity in translation. The goal is a proof strategy that makes every customer-facing asset more credible, not a library of case studies. GTM and sales enablement - Define how CoreWeave's training stack goes to market. Own the enablement framework for Sales and Solutions Architects. Set the competitive positioning strategy the field uses in training-focused deals. Partner with DevRel on content and enablement for technical audiences, including developers, researchers, and community contributors. That boundary requires active coordination and will evolve as both roles do. Partner with CoreWeave's technical and applied ML teams on benchmarking and performance validation that supports how the training stack is positioned and evaluated in market. Metrics and measurement - Define how product marketing's impact is measured for AI Training Infrastructure, not just whether assets were delivered. Own the metrics that matter: deal velocity, contract value, competitive win rates in training-related opportunities, and platform adoption and retention. Use that data to make the case internally for where AI Training Infrastructure messaging is moving deals and where it needs to change. Who You Are: - 5+ years in product marketing, technical marketing, or GTM, in cloud infrastructure, AI/ML, or developer tooling. - Working fluency with Kubernetes. You do not need to have operated clusters, but you need to understand how teams use them and why the infrastructure decisions around them matter. - Direct experience with or proximity to AI researchers: how they think, what they evaluate, what earns trust versus eye-rolls. - Familiarity with the AI model development lifecycle from pre-training through fine-tuning, RL, and optimization. You know what this stage of the workflow costs teams when it breaks down. - Demonstrated ability to build positioning and messaging for complex technical products that moved something, adoption, market perception, or competitive win rate. Not just produced, shipped. - Sound judgment inside ambiguity. You have worked in a fast-moving org where role definitions shifted and used that as information, not a blocker. Preferred: - Experience marketing platform or infrastructure products where the buyer is a platform engineer, research lead, or technical architect. - Familiarity with schedulers, clusters, or distributed training workloads, Slurm, Kubernetes-native training, or both. - Track record across multiple products or a portfolio simultaneously, not a single-product PMM motion. - Background in developer tools, HPC, or AI infrastructure. You have marketed highly technical products to audiences who evaluate claims on technical merit, not positioning. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees - Deliver Best-in-Class Client Experiences - Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $177,000 to $237,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Senior Account Solutions Architect
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You’ll Do: CoreWeave is the AI-first cloud where every layer, from compute and networking through orchestration, observability, and the broader AI tooling stack, is purpose-built for AI workloads. The Field Engineering team owns the technical relationship with every CoreWeave customer. We partner with Sales, Support, Product, and Engineering to deliver technical success across the full customer lifecycle. You’ll work hands-on with some of the most advanced AI teams in the world as they build, train, deploy, and scale their workflows. Greenfield is where we meet the next generation of those teams — net-new customers that haven’t yet built on CoreWeave. We hire technical, AI Solution Architects who want to operate the full stack, own customer relationships end-to-end, and grow on a visible technical ladder that recognizes customer impact above all. About the role: The Account Solutions Architect, Engaged is the named technical partner to existing customers across CoreWeave’s full platform — infrastructure, Models, Weave, observability, and inference. You’ll help AI teams solve real-world problems by deepening platform adoption, identifying and driving expansion opportunities, strengthening relationships with key technical stakeholders, and serving as a trusted advisor as customers scale their AI workloads in production. You’ll partner closely with Account Managers on the commercial motion, with Specialist Field Engineers for deep domain expertise, and with customer teams to ensure they are getting maximum value from CoreWeave. You’ll represent the voice of the customer internally, surface product feedback from the field, and proactively address technical blockers and business-critical needs to ensure customer success. This role is for customer-focused AI practitioners who are excited to help leading AI companies deepen their partnership with CoreWeave and scale the next generation of AI workloads in production. Who You Are: - 4+ years of relevant experience in a solutions engineer, AI-oriented solutions consultant, or technical field engineering role. - Proficiency in Python - Hands-on experience training, fine-tuning, evaluating, and deploying deep learning models, including modern LLM architectures - Experience designing and deploying production LLM-powered applications for customer use cases - Familiarity with running AI workloads least one major cloud platform (AWS, GCP, or Azure) - Demonstrated ability to break down and solve complex, often novel, technical problems with enterprise customers - Excellent written and verbal communication and presentation skills, with the ability to translate technical concepts for both engineering and executive audiences Preferred: (if applicable) - Working knowledge of cloud infrastructure for AI workloads, including GPU compute, high-performance networking, and storage - Familiarity one or more deep learning frameworks (PyTorch) and modern LLM stack (VLLM, langchain / LlamaIndex) - Experience using Slurm or Kubernetes for ML job orchestration - Experience with hyperparameter optimization and experiment tracking tools\ - Background in ML Engineering, AI Engineering, MLOps, or LLMOps - Prior experience in a technical pre-sales or solutions architecture role focused on net-new logos or greenfield accounts - Familiarity with high-performance GPU infrastructure (e.g., NVIDIA H100/H200/B200, InfiniBand networking, parallel file systems) Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. - You'd rather show than tell — you build the demo or PoC instead of just pitching it. - You get excited by empty whiteboards —new customers, novel problems, new playbooks for AI natives. - You're genuinely curious about your customers' work — what they're building, what's getting in their way, what success looks like for them. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employee The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Business Development Manager- Physical AI
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . About the Team: CoreWeave is seeking a Business Development Manager - Physical AI to lead our growing presence in one of the most consequential compute verticals emerging today. You'll join a high-impact partnerships organization working at the intersection of robotics, autonomous systems, and AI infrastructure, partnering closely with Product, Engineering, and GTM teams to build differentiated joint offerings with the leaders building Physical AI. About the Role: Physical AI (spanning robotics, autonomous vehicles, industrial automation, and embodied AI) demands a fundamentally different compute stack than software-only AI. Workloads span large-scale simulation, synthetic data generation, foundation model training for perception and planning, and real-time edge inference. CoreWeave is positioned as the infrastructure backbone for this stack, and this role is central to building the partner ecosystem that makes that happen. In this role, you will own and grow CoreWeave's strategic partnerships with the key players building in the Physical AI space: simulation ISVs, robotics platform companies, OEMs, autonomous systems startups, and the NVIDIA Physical AI ecosystem. You'll translate deep domain knowledge into joint GTM motions, co-innovation agreements, and scalable partner programs that accelerate revenue and market expansion across the Physical AI landscape. Key Responsibilities: - Own and lead strategic partnerships with Physical AI platform companies, robotics ISVs, simulation vendors, and OEMs — defining joint strategy, product integrations, co-innovation, and go-to-market motions. - Serve as CoreWeave's primary point of contact within the NVIDIA Physical AI ecosystem (Isaac Sim, Isaac Lab, Cosmos, Omniverse, DRIVE), driving deep technical alignment and co-sell motions across simulation, training, and inference workloads. - Develop joint reference architectures and go-to-market assets with partners covering the full Physical AI stack: synthetic data generation, sim-to-real pipelines, foundation model fine-tuning, and on-robot inference. - Identify and close compute opportunities across Physical AI workload stages — simulation at scale, large-scale training of perception and planning models, and edge deployment — partnering closely with CoreWeave field teams. - Actively participate in the sales cycle for strategic opportunities, driving co-sell with partners and accelerating Physical AI pipeline. - Collaborate with CoreWeave Product and Engineering to represent partner feedback and Physical AI workload requirements, influencing roadmap decisions. - Develop and execute quarterly business plans with partners, including goals, KPIs, and joint activities to ensure alignment and accountability. - Nurture strong field engagement between CoreWeave teams and partner sales organizations to ensure active co-selling and opportunity sharing. - Serve as CoreWeave's visible advocate within the Physical AI ecosystem at key industry events, partner forums, and conferences. Who You Are: - Physical AI domain expert: Deep understanding of the Physical AI stack: robotics, autonomous systems, digital twins, simulation-to-real workflows, embodied AI, and industrial autonomy. You can credibly engage with roboticists, ML engineers, and autonomy researchers on technical architecture, not just business strategy. - NVIDIA Physical AI ecosystem fluent: Hands-on experience or deep familiarity with NVIDIA's Physical AI toolchain: Omniverse, Isaac Sim, Isaac Lab, Cosmos, ROS2, OpenUSD, and DRIVE. You understand how these tools integrate with compute, storage, and networking requirements at scale. - Technical depth, partnerships execution: 5+ years in partnerships, business development, or solutions architecture roles, with a demonstrated track record owning strategic technical partnerships in robotics, autonomous systems, simulation, or adjacent AI infrastructure domains. - Robotics and autonomy stack literate: Familiar with ROS2, MuJoCo, Gazebo, OpenUSD, synthetic data pipelines, sensor simulation, and the compute patterns that underpin Physical AI — cluster sizing for simulation and training, latency requirements, and edge/on-robot inference deployment. - Deep strategic partner experience: Proven experience leading partnerships with NVIDIA, with deep understanding of NVIDIA's go-to-market, partner programs, and ecosystem dynamics. Experience with at least one of: Boston Dynamics, Agility Robotics, Waymo, Aurora, Mobileye, Intrinsic, or comparable Physical AI platform companies. - Clear and adaptable communicator: Able to translate complex Physical AI technical concepts for both engineering and business audiences — from embodied AI researchers to C-suite — and build compelling joint value propositions. - Executive presence & GTM savvy: Track record of influencing senior technical and business stakeholders, structuring complex partnerships, and driving pipeline through partner channels. - Collaborative operator: Demonstrated success working cross-functionally with Product, Engineering, Marketing, and Sales to build partner programs and drive shared outcomes. - Strategic and execution-oriented: Comfortable operating with ambiguity, setting priorities, and building structured plans to execute against aggressive growth goals in a fast-moving market. Wondering if you're a good fit? We believe in investing in our people and value candidates who can bring their diverse experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. - You have hands-on familiarity with robotics or autonomous systems — you've shipped code, trained models, or architected systems that interact with the physical world. - You understand why compute choices matter for Physical AI workloads: the difference between simulation-scale GPU bursts, continuous training runs for world models, and low-latency on-robot inference shapes every partnership conversation you'll have. - You stay current on the Physical AI ecosystem (from foundation model labs building world models and sim-to-real pipelines to robotics startups deploying at the edge) and you have a point of view on where it's going. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees - Deliver Best-in-Class Client Experiences - Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $127,000 to $168,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Account Solutions Architect - Greenfield
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You’ll Do: CoreWeave is the AI-first cloud where every layer, from compute and networking through orchestration, observability, and the broader AI tooling stack, is purpose-built for AI workloads. The Field Engineering team owns the technical relationship with every CoreWeave customer. We partner with Sales, Support, Product, and Engineering to deliver technical success across the full customer lifecycle. You’ll work hands-on with some of the most advanced AI teams in the world as they build, train, deploy, and scale their workflows. Greenfield is where we meet the next generation of those teams — net-new customers that haven’t yet built on CoreWeave. We hire technical, AI Solution Architects who want to operate the full stack, own customer relationships end-to-end, and grow on a visible technical ladder that recognizes customer impact above all. About the role: The Account Solutions Architect, Greenfield is the named technical partner to prospective customers across CoreWeave’s full platform — infrastructure, models, Weave, observability, and inference. You’ll help AI teams solve real-world problems by designing custom demos, leading proofs of concept (PoCs) end-to-end, and acting as a trusted advisor on best practices from the first technical conversation through production and expansion. You’ll partner closely with Account Executives on the commercial motion, with Specialist Field Engineers for deep domain expertise, and act as a trusted advisor on best practices for AI workloads. You’ll represent the voice of the customer internally and help shape the product roadmap based on what you see in the field. This role is for customer-focused AI practitioners who are excited to bring the next generation of AI companies onto CoreWeave. Who You Are: - 4+ years of relevant experience in a solutions engineer, AI-oriented solutions consultant, or technical field engineering role. - Proficiency in Python - Hands-on experience training, fine-tuning, evaluating, and deploying deep learning models, including modern LLM architectures - Experience designing and deploying production LLM-powered applications for customer use cases - Familiarity with running AI workloads least one major cloud platform (AWS, GCP, or Azure) - Demonstrated ability to break down and solve complex, often novel, technical problems with enterprise customers - Excellent written and verbal communication and presentation skills, with the ability to translate technical concepts for both engineering and executive audiences Preferred: (if applicable) - Working knowledge of cloud infrastructure for AI workloads, including GPU compute, high-performance networking, and storage - Familiarity one or more deep learning frameworks (PyTorch) and modern LLM stack (VLLM, langchain / LlamaIndex) - Experience using Slurm or Kubernetes for ML job orchestration - Experience with hyperparameter optimization and experiment tracking tools\ - Background in ML Engineering, AI Engineering, MLOps, or LLMOps - Prior experience in a technical pre-sales or solutions architecture role focused on net-new logos or greenfield accounts - Familiarity with high-performance GPU infrastructure (e.g., NVIDIA H100/H200/B200, InfiniBand networking, parallel file systems) Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. - You'd rather show than tell — you build the demo or PoC instead of just pitching it. - You get excited by empty whiteboards —new customers, novel problems, new playbooks for AI natives. - You're genuinely curious about your customers' work — what they're building, what's getting in their way, what success looks like for them. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Account Solutions Architect - Engaged
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You’ll Do: CoreWeave is the AI-first cloud where every layer, from compute and networking through orchestration, observability, and the broader AI tooling stack, is purpose-built for AI workloads. The Field Engineering team owns the technical relationship with every CoreWeave customer. We partner with Sales, Support, Product, and Engineering to deliver technical success across the full customer lifecycle. You’ll work hands-on with some of the most advanced AI teams in the world as they build, train, deploy, and scale their workflows. Greenfield is where we meet the next generation of those teams — net-new customers that haven’t yet built on CoreWeave. We hire technical, AI Solution Architects who want to operate the full stack, own customer relationships end-to-end, and grow on a visible technical ladder that recognizes customer impact above all. About the role: The Account Solutions Architect, Engaged is the named technical partner to existing customers across CoreWeave’s full platform — infrastructure, Models, Weave, observability, and inference. You’ll help AI teams solve real-world problems by deepening platform adoption, identifying and driving expansion opportunities, strengthening relationships with key technical stakeholders, and serving as a trusted advisor as customers scale their AI workloads in production. You’ll partner closely with Account Managers on the commercial motion, with Specialist Field Engineers for deep domain expertise, and with customer teams to ensure they are getting maximum value from CoreWeave. You’ll represent the voice of the customer internally, surface product feedback from the field, and proactively address technical blockers and business-critical needs to ensure customer success. This role is for customer-focused AI practitioners who are excited to help leading AI companies deepen their partnership with CoreWeave and scale the next generation of AI workloads in production. Who You Are: - 4+ years of relevant experience in a solutions engineer, AI-oriented solutions consultant, or technical field engineering role. - Proficiency in Python - Hands-on experience training, fine-tuning, evaluating, and deploying deep learning models, including modern LLM architectures - Experience designing and deploying production LLM-powered applications for customer use cases - Familiarity with running AI workloads least one major cloud platform (AWS, GCP, or Azure) - Demonstrated ability to break down and solve complex, often novel, technical problems with enterprise customers - Excellent written and verbal communication and presentation skills, with the ability to translate technical concepts for both engineering and executive audiences Preferred: (if applicable) - Working knowledge of cloud infrastructure for AI workloads, including GPU compute, high-performance networking, and storage - Familiarity one or more deep learning frameworks (PyTorch) and modern LLM stack (VLLM, langchain / LlamaIndex) - Experience using Slurm or Kubernetes for ML job orchestration - Experience with hyperparameter optimization and experiment tracking tools\ - Background in ML Engineering, AI Engineering, MLOps, or LLMOps - Prior experience in a technical pre-sales or solutions architecture role focused on net-new logos or greenfield accounts - Familiarity with high-performance GPU infrastructure (e.g., NVIDIA H100/H200/B200, InfiniBand networking, parallel file systems) Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. - You'd rather show than tell — you build the demo or PoC instead of just pitching it. - You get excited by empty whiteboards —new customers, novel problems, new playbooks for AI natives. - You're genuinely curious about your customers' work — what they're building, what's getting in their way, what success looks like for them. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Technical Program Manager, AI Delivery for Public...
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why This Role? We're seeking an experienced Program Manager to join Cohere's customer-facing Program Management team, with a focus on public sector and defence accounts in Europe, particularly in France. This is a highly specialised role requiring an individual who understands technical program delivery, the technical complexity of frontier AI models and the unique requirements of government and defence organisations. You will be the critical bridge between our cutting-edge AI capabilities and the specific needs of Ministries, Agencies, and defence organisations across Europe. You'll navigate complex procurement processes, stringent security requirements, data sovereignty concerns, and regulatory compliance while ensuring our customers successfully deploy and scale our AI solutions. In this role, you'll collaborate with our Strategic Customer team, Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform, Product, and Go-to-Market teams, serving as the technical program lead and trusted advisor for our most sensitive and high-impact government and defence engagements. Location: France Eligibility: Critically, this individual is required to be a French citizen living in France with fluency in French as this will enable immediate engagement with critical defence and national security customers. Security Clearance: Active French Secret clearance is preferred; candidates eligible and willing to obtain clearance will also be considered. What You'll Do Customer Program Leadership: - Own end-to-end technical program delivery for French and broader European public sector and defence customers, from initial deployment through production scaling - Serve as the primary technical program point of contact for customers, building trusted relationships with departmental CIOs, IT directors, and technical teams - Translate complex public sector and defence requirements (security, compliance, accessibility, bilingualism, data sovereignty) into actionable engineering plans - Navigate complex procurement processes, RFP responses, and contractual technical obligations. Strategic Communication: - Provide clear, timely, and objective communication across Cohere's engineering organisation, customer stakeholders, pubic sector and defence leadership - Translate between AI/ML technical concepts and government-appropriate language for decision-makers who may not have deep technical backgrounds - Present technical roadmaps and status updates to senior stakeholders including departmental executives - Represent Cohere's technical capabilities in sensitive government and defence contexts. Complex Program Management: - Create and manage project schedules that account for public sector and defence timelines, security review processes, and approval cycles - Identify and manage dependencies across government departments, security authorities, cloud service providers, and internal Cohere teams - Navigate risks unique to government and defence deployments: privacy compliance, security, political and regulatory, technology and infrastructure. - Drive alignment between product development priorities and specific customer requirements. Technical Delivery & Execution: - Ensure on-time delivery of AI solutions that meet security, privacy, accessibility, and performance standards - Coordinate technical work across multiple teams: model customisation, security hardening, integration with government systems, bilingual support - Establish governance checkpoints appropriate for high-stakes government and defence deployments - Problem-solve complex technical challenges in air-gapped, on-premises, or highly regulated environments. You May Be a Good Fit If: Required Experience: - 6+ years of experience as a customer-facing Technical or Engineering Program Manager in AI/ML consulting, technology transformation, or enterprise software delivery. - Excellent executive communication and stakeholder management. - Experience working with government, defence, or heavily regulated customers. - Proven track record managing complex, multi-stakeholder technical programs with stringent compliance requirements. - Bachelor’s degree in a relevant field; advanced degree or technical certs a plus. Technical Background: - Strong understanding of enterprise software deployment architectures (cloud, on-premises, hybrid, air-gapped) - Working knowledge of or experience with modern AI: LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI would be a strong differentiator - Comfortable discussing API integrations, model inference, data pipelines, and ML operations with technical stakeholders. Government & Defence Acumen: - Deep understanding of how government and defence organisations procure, evaluate, and deploy technology - Familiarity with European government requirements: data sovereignty, privacy laws (Privacy Act), accessibility standards, official languages obligations, security classifications - Understanding of defence and national security considerations in AI deployment - Experience with Algorithmic Impact Assessments or AI ethics frameworks is a strong asset - Eligible to obtain French security clearance Nice to Have: - Active French security clearance (Secret or Top Secret) - Bilingual (English/French) proficiency - Background in or strong familiarity with European defence, intelligence, or critical infrastructure sectors - Experience with GC Cloud services (Azure, AWS GovCloud) or Protected B/C environments - Project management certification (PMP, PgMP) or government-specific methodologies. Security Clearance Requirements This role requires eligibility for French government security clearance. Candidates must be eligible for French government clearance, meaning that they require French citizenship. In addition, this individual is required to be based in France and be fluent in French as this will enable immediate engagement with critical defence and national security customers. What Makes This Role Unique This isn't typical program management - it's a highly specialised role at the intersection of frontier AI, national security, and public sector digital transformation. You'll work on some of Canada's most sensitive and impactful AI deployments, helping government organisations harness cutting-edge technology while maintaining the highest standards of security, ethics, and accountability. If you're passionate about responsible AI adoption, understand the unique constraints and opportunities within government, and want to have an outsized impact on how Canada leverages AI to serve its citizens, this role is for you. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Technical Program Manager, AI Delivery for Public...
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why This Role? We're seeking an experienced Program Manager to join Cohere's customer-facing Program Management team, with a focus on Canadian public sector and defence accounts. This is a highly specialized role requiring an individual who understands technical program delivery, the technical complexity of frontier AI models and the unique requirements of government and defence organizations. You will be the critical bridge between our cutting-edge AI capabilities and the specific needs of Canadian federal departments, provincial agencies, Crown corporations, and defence organizations. You'll navigate complex procurement processes, stringent security requirements, data sovereignty concerns, and regulatory compliance while ensuring our customers successfully deploy and scale our AI solutions. In this role, you'll collaborate with our Strategic Customer team, Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform, Product, and Go-to-Market teams, serving as the technical program lead and trusted advisor for our most sensitive and high-impact government engagements. Location: Ottawa required Security Clearance: Active Top Secret clearance strongly preferred; candidates eligible and willing to obtain clearance will also be considered. What You'll Do Customer Program Leadership: - Own end-to-end technical program delivery for Canadian public sector and defence customers, from initial deployment through production scaling - Serve as the primary technical program point of contact for government customers, building trusted relationships with departmental CIOs, IT directors, and technical teams - Translate complex government requirements (security, compliance, accessibility, bilingualism, data sovereignty) into actionable engineering plans - Navigate government procurement processes, RFP responses, and contractual technical obligations. Strategic Communication: - Provide clear, timely, and objective communication across Cohere's engineering organization, customer stakeholders, and government leadership - Translate between AI/ML technical concepts and government-appropriate language for decision-makers who may not have deep technical backgrounds - Present technical roadmaps and status updates to senior government officials and departmental executives - Represent Cohere's technical capabilities in sensitive government and defence contexts. Complex Program Management: - Create and manage project schedules that account for government timelines, security review processes, and ministerial approval cycles - Identify and manage dependencies across government departments, security authorities, cloud service providers, and internal Cohere teams - Navigate risks unique to government deployments: privacy compliance, Algorithmic Impact Assessments, Treasury Board submissions, security authorizations - Drive alignment between product development priorities and specific government requirements. Technical Delivery & Execution: - Ensure on-time delivery of AI solutions that meet government-grade security, privacy, accessibility, and performance standards - Coordinate technical work across multiple teams: model customization, security hardening, integration with government systems, bilingual support - Establish governance checkpoints appropriate for high-stakes government deployments - Problem-solve complex technical challenges in air-gapped, on-premises, or highly regulated environments. You May Be a Good Fit If: Required Experience: - 6+ years of experience as a customer-facing Technical or Engineering Program Manager in AI/ML consulting, technology transformation, or enterprise software delivery. - Excellent executive communication and stakeholder management. - Experience working with government, defence, or heavily regulated customers (public sector, defence contractors). - Proven track record managing complex, multi-stakeholder technical programs with stringent compliance requirements. - Bachelor’s degree in a relevant field; advanced degree or technical certs a plus. Technical Background: - Strong understanding of enterprise software deployment architectures (cloud, on-premises, hybrid, air-gapped) - Working knowledge of or experience with modern AI: LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI would be a strong differentiator - Comfortable discussing API integrations, model inference, data pipelines, and ML operations with technical stakeholders. Government & Defence Acumen: - Deep understanding of how government organizations procure, evaluate, and deploy technology - Familiarity with Canadian government requirements: data sovereignty, privacy laws (Privacy Act), accessibility standards, official languages obligations, security classifications - Understanding of defence and national security considerations in AI deployment - Experience with Algorithmic Impact Assessments or AI ethics frameworks is a strong asset - Eligible to obtain Canadian government security clearance (Top Secret preferred) Nice to Have: - Active Canadian government security clearance (Secret or Top Secret) - strong preference for active Top Secret clearance - Bilingual (English/French) proficiency - Background in or strong familiarity with Canadian defence, intelligence, or critical infrastructure sectors - Experience with GC Cloud services (Azure, AWS GovCloud) or Protected B/C environments - Project management certification (PMP, PgMP) or government-specific methodologies. Security Clearance Requirements This role requires eligibility for Canadian government security clearance. Strong preference will be given to candidates who currently hold an active Top Secret (TS) clearance, as this will enable immediate engagement with our most sensitive defence and national security customers. However, we will also consider exceptional candidates who: - Currently hold Secret clearance and are eligible for TS upgrade - Do not currently hold clearance, but are eligible and willing to undergo the Top Secret clearance process - Have a previous government security clearance that has lapsed Please note that obtaining Top Secret clearance can take 12-18 months. Candidates without active clearance will work on non-classified public sector accounts while the clearance process is underway. What Makes This Role Unique This isn't typical program management—it's a highly specialized role at the intersection of frontier AI, national security, and public sector digital transformation. You'll work on some of Canada's most sensitive and impactful AI deployments, helping government organizations harness cutting-edge technology while maintaining the highest standards of security, ethics, and accountability. If you're passionate about responsible AI adoption, understand the unique constraints and opportunities within government, and want to have an outsized impact on how Canada leverages AI to serve its citizens, this role is for you. For candidates in Canada, the Compensation Range is: $160,000 – $245,000 [CAD] FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: - Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. - Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
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