HPCOperationsEngineer

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. *Note: This position requires presence in our San Francisco / Bellevue 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 Do - Remotely 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 tools - Troubleshoot and resolve HPC cluster issues working closely with physical deployment teams on-site - Provide clear and detailed requirements back to other engineering teams on gaps and improvement areas, specifically in the areas of simplification, stability, and operational efficiency - Contribute to the creation of and maintenance of Standard Operating Procedures - Provide regular and well-communicated updates to project leads throughout each deployment - Mentor and assist less experienced team members - Stay up-to-date on the latest HPC/AI technologies and best practices You - Are a deeply experienced HPC engineer comfortable with logical provisioning of a cluster - Have a strong understanding of HPC/AI architecture, operating systems, firmware, software, and networking - 5+ years of experience in deploying and configuring HPC clusters for AI workloads - Have an innate attention to detail - Are in expert in configuring and troubleshooting: - SF