Not seeing a role?

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. Compensation is also based on seniority, and this range encapsulates multiple levels within the role.

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

• 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

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.