Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU.
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
Lead a team of system designers responsible for translating architecture into detailed, executable infrastructure designs across compute, storage, and networking.
Build and mature repeatable processes that turn Lambda’s reference architectures into site and customer-specific deployment plans.
Own the delivery of infrastructure design packages, ensuring solutions meet functional requirements, budget targets, and delivery timelines.
Partner closely with architecture, product, engineering, and customer teams to ensure alignment between design execution and platform roadmap.
Guide the creation and review of design specifications, integration plans, and validation processes for new deployments.
Mentor and grow a high-performing team of infrastructure designers, focused on disciplined execution and iterative delivery.
You
Have 5+ years of experience designing HPC or cloud infrastructure at scale, with 2+ years in a technical leadership or management role.
Understand the practical application of compute, storage, and network architectures in real-world, large-scale deployments.
Can take an established architectural direction and lead your team in producing high-quality designs that deliver reliably, on-time, and within scope.
Are adept at managing tradeoffs and risk in infrastructure delivery—balancing technical ambition with operational realism.
Have experience mentoring senior-level technical contributors and building cohesive, execution-focused teams.
Nice to Have
Experience supporting AI/ML or simulation workloads in high-performance environments.
Familiarity with system integration, hardware bring-up, or working alongside hardware engineering teams.
Background in designing for hyperscale or enterprise environments, especially where customer requirements drive significant customization.
Understanding of delivery workflows, BOM creation, and vendor coordination in infrastructure deployment contexts.
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.
Top Skills
What We Do
Lambda provides computation to accelerate human progress. We're a team of Deep Learning engineers building the world's best GPU workstations and servers. Our products power engineers and researchers at the forefront of human knowledge. Customers include Microsoft, MIT, Los Alamos National Lab, Disney, Tencent, Kaiser Permanente, Stanford, Harvard, Caltech, and the Department of Defense.
