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.

Compensation Overview

6 month growth

1 year growth

2 year growth