Senior HPC Systems Engineer

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

You

• Have expertise with architecting, operating, and debugging large scale HPC network and storage infrastructure, ideally using MPI, NCCL, RDMA, Infiniband, and parallel file systems
• Are experienced with building complex, high-quality software using Python
• Possess a deep understanding of Linux fundamentals, especially its networking stack
• Have experience with large GPU clusters is strongly preferred
• Have experience with virtualization and kubernetes
• Come from a 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 

Salary Range Information 

Based on market data and other factors, the salary range for this position is $180,000 - $250,000. 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.