Senior HPC Systems Engineer - Remote (US & CAN)

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and MIT. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

If you'd like to build the world's best deep learning cloud, join us. 

What You’ll Do

• Design and architect the state-of-the-art AI supercomputers powering our cloud
• Introduce technology and software to improve the performance, resiliency, and quality of service of our HPC storage and networking infrastructure
• Work closely with our ML team to benchmark, tune, and optimize our hypervisors, network, and storage
• Set up monitoring, logging and alerting to ensure high availability and observability
• Provide guidance and represent the interests of our HPC customers

Qualifications

• Expertise with architecting, operating, and debugging large scale HPC network and storage infrastructure, ideally using MPI, NCCL, RDMA, Infiniband, and parallel file systems
• Experience building complex, high-quality software using Python
• Deep understanding of Linux fundamentals, especially its networking stack
• Experience with large GPU clusters is strongly preferred
• Experience with virtualization and kubernetes
• Strong engineering background - Computer Science, Electrical Engineering, Mathematics, Physics

You will be successful in this role if you

• Have led and taken full ownership over large, ambiguous, cross team projects from conception to production
• Enjoy moving fast and making a large business impact
• Value working on a team of high performers that hold each other accountable
• Are a self-starter, curious, and not afraid to ask when in doubt
• Are a quick learner and enjoy learning new technologies
• Value working on a low ego team that emphasizes strong communication, collaboration, and getting to the right answer as a team 

About Lambda

• We offer generous cash & equity compensation
• Investors include …