HPC Operations Engineer

Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide.If you'd like to build the world's best deep learning cloud, join us. *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.What You’ll DoRemotely deploy and configure large-scale HPC clusters for AI workloads (up to many thousands of nodes)Remotely install and configure operating systems, firmware, software, and networking on HPC clusters both manually and using automation toolsTroubleshoot and resolve HPC cluster issues working closely with physical deployment teams on-siteProvide clear and detailed requirements back to other engineering teams on gaps and improvement areas, specifically in the areas of simplification, stability, and operational efficiencyContribute to the creation of and maintenance of Standard Operating ProceduresProvide regular and well-communicated updates to project leads throughout each deploymentStay up-to-date on the latest HPC/AI technologies and best practicesYou Are an experienced HPC engineer comfortable with logical provisioning of a cluster Have a strong understanding of HPC/AI architecture, operating systems, firmware, software, and networking7+ years of experience in deploying and configuring HPC clusters for AI workloadsHave an innate attention to detailHave experience with Bright Cluster Manager or similar cluster management toolsAre proficient in configuring and troubleshooting:SFP+ fiber, Infiniband (IB), and 100 GbE network fabricsEthernet, switching, power infrastructure, GPU direct, RDMA, NCCL, Horovod environmentsLinux based compute nodes, firmware updates, driver installationSLURM, Kubernetes, or other job scheduling systemsWork well under deadlines and structured project plans Have excellent problem solving and troubleshooting skillsHave flexibility to travel to our North American data centers as on-site needs arise or as part of training exercisesAre able to work independently and as part of a teamNice to HaveExperience with machine learning and deep learning frameworks (PyTorch, Tensorflow) and benchmarking tools (DeepSpeed, MLPerf)Experience with containerization technologies ( Docker, Kubernetes)Experience working with the technologies that underpin our cloud business ( GPU acceleration, virtualization, and cloud computing)Keen situational awareness in customer situations, employing diplomacy and tactBachelors degree in EE, CS, Physics, Mathematics, or equivalent work experienceSalary Range Information Based on market data and other factors, the annual salary range for this position is $134,000-$192,000. 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, ~350 employees (2024) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, 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 useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal 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.

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