Site Reliability Engineer - Inference

We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be.

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 

The annual salary range for this position has been set based on market data and other factors. 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, ~400 employees (2025) 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.