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.Ā
What Youāll 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 teamĀ
About Lambda
- We offer generous cash & equity compensation
- Investors include Gradient Ventures, Googleās AI-focused venture fund
- We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
- Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- We have a wildly talented team of 200, and growing fast
- Health, dental, and vision coverage for you and your dependents
- Commuter/Work from home stipends
- 401k Plan with 2% company match
- Flexible Paid Time Off Plan that we all actually use
Salary Range InformationĀ
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 ā¦
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401(k) Plan Cash & equity compensation Commuter/Work from home stipends Flexible paid time off Flexible Paid Time Off Plan Health, dental, and vision coverage
SkillsKubernetes Python Virtualization
EducationComputer Science Electrical Engineering Mathematics Physics
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