Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide.
If you'd like to build the world's best deep learning cloud, join us.
*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.
What You’ll Do
Work on our Inference service, helping us to develop our large-scale platform for running new, cutting-edge models across tens of thousands of GPUs
Help build a high-throughput, low-latency API and routing system running at geographically-distributed scale
Shape a highly reliable distributed system with a focus on reducing operational overhead and deep observability and capacity management.
Work with the team and our internal ML researchers to adopt and improve new inference engines, models and architectures across a variety of different mediums (such as text, image, video and audio)
Tackle global networking challenges to deliver the lowest possible latency to our users across all of Lambda’s available capacity
Help push Lambda forward into the state of the art, and be part of a team that is operating right at the edge of new developments in the industry.
You
8 or more years of experience as a software reliability engineer or software engineer working on large-scale, internet-facing production services
Highly skilled at writing Go and Python
Experience with bare-metal system installation and administration
Experience deploying applications and operators on Kubernetes
Product-focused, balancing operational needs and keeping overheads down with the need to ship features at a rapid pace
Proven track record of working in an environment with rapid deployment and the ability to stay on top of shifting priorities as the industry rapidly develops
Willingness to take ownership of projects and help drive them forwards through design, implementation, launch, and maintenance.
Nice to Have
Experience working with machine learning models
Experience operating large-scale, geographically distributed systems
Experience developing Kubernetes operators and components
Network engineering experience
If you don’t meet all of these requirements but believe you may be a good fit, please still apply and provide a cover letter that helps us understand your experience and readiness for this role.
Salary Range Information
Based on market data and other factors, the annual salary range for this position is $255,000-$550,000. 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
Founded in 2012, ~350 employees (2024) and growing fast
We offer generous cash & equity compensation
Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.
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
Health, dental, and vision coverage for you and your dependents
Wellness and Commuter stipends for select roles
401k Plan with 2% company match (USA employees)
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.