Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and Carnegie Mellon. 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
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.
About Lambda
- We offer generous cash & equity compensation
- Investors include Gradient Ventures, Google’s 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 300, and growing fast
- Health, dental, and vision coverage for you and your dependents
- Commuter/Work from home stipends for select roles
- 401k Plan with 2% company match
- Flexible Paid Time Off Plan that we all actually use
A 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 Employer
Lambda 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.
Top Skills
What We Do
Lambda provides computation to accelerate human progress. We're a team of Deep Learning engineers building the world's best GPU workstations and servers. Our products power engineers and researchers at the forefront of human knowledge. Customers include Microsoft, MIT, Los Alamos National Lab, Disney, Tencent, Kaiser Permanente, Stanford, Harvard, Caltech, and the Department of Defense.
