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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. 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.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 valueWe’re looking for engineers with deep expertise in one or more of the following:Linux & systems-level engineeringNetworking (high-performance, distributed)Software engineering and distributed systems at scaleStorage architecture, implementation, operation, and optimizationMachine learning research and engineeringYou’ll succeed here if youAre 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. Compensation is also based on seniority, and this range encapsulates multiple levels within the role.About LambdaFounded in 2012, ~350 employees (2024) and growing fastWe offer generous cash & equity compensationOur 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 profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA 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 EmployerLambda 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.

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