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San Francisco Office
In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity.
If you'd like to build the world's best deep learning cloud, join us.
Don’t see an exact fit?
At Lambda, we're always on the lookout for top-tier engineers who thrive in high-impact, high-ownership roles. If you're passionate about our mission and bring expertise in several of the areas below, we'd love to connect.
Key technical strengths we value
We’re looking for engineers with deep expertise in one or more of the following:
Linux & systems-level engineering
Networking (high-performance, distributed)
Software engineering and distributed systems at scale
Storage architecture, implementation, operation, and optimization
Machine learning research and engineering
You’ll succeed here if you
Are deeply technical – you don’t just use technology; you understand how it works under the hood, from vLLM and Kubernetes to model distillation and quantization.
Have a track record of shipping impactful products – You’ve launched and scaled high-performance systems that saw real usage and commercial success.
Thrive in ambiguity – you make decisions fast, align teams quickly, and balance long-term vision with the realities of a rapidly evolving market.
Stay ahead of the AI/ML ecosystem – You’re curious, well-connected, and keep up with where the field is going.
Own large, complex projects – You’ve led cross-team initiatives from conception to production, managing technical and strategic complexity.
Move fast & make an impact – You prioritize speed, execution, and delivering measurable business results.
Value a high-performance, low-ego team – you hold yourself and others accountable while fostering collaboration and open communication.
Salary range information
The salary range within the engineering team is broad: $150,000 - $470,000 – depending on skillsets and years of experience.
About Lambda
We offer generous cash & equity compensation
Investors include US Innovative Technology, Gradient Ventures, Mercato Partners, SVB
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 350+, 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 (USA employees)
Flexible Paid Time Off Plan that we all actually use
Fast Facts:
Founded: 2012
Number of Employees: ~350
Investors: 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.
Board Members: Gaetano Crupi - USIT, Zachary Bratun-Glennon - Gradient Ventures, Robert Youngjohns
Executive Team: Co-founder and CEO, Stephen Balaban, Co-Founder and CTO, Michael Balaban, CFO, Peter Seibold, Matthew Worby, CHRO
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.
ApplyJob Profile
401(k) plan with company match Cash & equity compensation Commuter/work from home stipends Equity Compensation Flexible paid time off Health/dental/vision coverage
Tasks- Build deep learning cloud
- Lead complex projects
- Ship impactful products
Distributed Systems High-performance software Kubernetes Linux Machine Learning Model Distillation Networking Quantization Software Engineering Storage architecture Systems Engineering
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9