Manager, HPC Design

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI 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, with 500+ employees, and growing fast

• Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove

• We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

• Our values are publicly available: https://lambda.ai/careers

• We offer generous cash & equity compensation

• 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.