Senior HPC Engineer - Fleet Engineering

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.If you'd like to build the world's best AI cloud, join us.What You’ll DoBuild and operate monitoring and alerting for cluster health — fabric, GPU, power/thermal, and job-level signals — to detect and respond to issues proactivelyRemotely deploy and configure large-scale HPC clusters for AI workloads using automation wherever possibleAutomate cluster lifecycle: operating systems, firmware, drivers, and networking, managed as code (Ansible, Terraform) rather than by handCreate runbooks and automated remediations for common cluster failure modes, designed so Support and HPC Support can run them safelyTroubleshoot and resolve cluster issues across InfiniBand/RoCE, NCCL, GPU-direct, fabric, switching, and power — working closely with on-site deployment teamsParticipate in on-call rotations and lead incident response for cluster-level problemsContribute to and maintain Standard Operating Procedures, and feed clear requirements back to other engineering teams on simplification, stability, and operational efficiencyYou7+ years of experience in Site Reliability Engineering, HPC Engineering, DevOps, or a similar roleHave a strong understanding of modern AI infrastructure, from GPU architectures to hardware performance optimizationStrong understanding of Linux-based systems in a distributed environmentAre experienced configuring and troubleshooting InfiniBand (IB), RoCE, CLOS fabrics, 100GbE, Ethernet/switching, GPU-direct, and NCCL environmentsSolid understanding of Python and Go, with experience working with SWE teams to improve internal tooling.Experience with monitoring and alerting tools (e.g., Prometheus, Grafana, Clickhouse)Proficiency in automation and configuration management tools (e.g., Ansible, Terraform)Have excellent problem-solving and troubleshooting skills and an innate attention to detailPassion for continuous improvement and innovationNice to HaveExperience with machine learning / deep learning frameworks (PyTorch, TensorFlow) and benchmarking tools (DeepSpeed, MLPerf)Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes)Experience building and/or operating HPC resources.Depth in the NVIDIA hardware and firmware ecosystemExperience with data center power and thermal designBackground in chaos engineering or similar reliability testing methodologiesUnderstanding of compliance frameworks (SOC 2, ISO 27001, etc.)Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.About LambdaFounded in 2012, with 500+ employees, and growing fastOur investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent CoveWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGOur values are publicly available: We offer generous cash & equity compensationHealth, dental, and vision coverage for you and your dependentsWellness and commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible paid time off plan that we all actually useEqual Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.Compensation Range: $227K - $356KLocationSan Francisco Office (Fremont St); Bellevue Office; Remote, USA; San Jose Office (First St)Employment TypeFull timeLocation TypeHybridDepartmentData Center BusinessCompensationSan Francisco / San JoseSan Francisco / San Jose $267K – $356KBellevueBellevue $240K – $320KRemote, USA$227K – $303K