Data Center Mechanical Engineering Intern - 2026

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 Jose or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

We're looking for Mechanical Engineering interns to join Lambda's Infrastructure Engineering team for an exciting internship opportunity. You’ll help build the operational foundation for one of the fastest-growing GPU cloud networks in the world.

What You’ll Do

- Verify data center electrical or mechanical infrastructure against existing documentation

- Conduct checklist-driven reviews of assigned systems

- Compare field conditions against drawings, diagrams, equipment records, and asset inventories

- Document equipment labels, configurations, ratings, and discrepancies

- Update draft system maps, inventory records, and documentation inputs

- Capture operating parameters in standardized templates

- Flag documentation gaps and potential resiliency concerns for senior engineer review

- Prepare site audit summaries for the Infrastructure Engineering team

- Recommend improvements to audit checklists and workflows

You

- Currently pursuing a Bachelor's or Master’s in Mechanical Engineering or related field.

- Are detail-oriented and comfortable working from checklists

- Can read technical documentation or are eager to learn

- Communicate clearly in writing

- Are comfortable working under supervision in a structured engineering environment

- Are interested in data centers, infrastructure, reliability, or mission-critical systems

Nice to Have

- Familiarity with data center, facility, lab, industrial, or infrastructure environments

- Exposure to CAD, Bluebeam, Excel, Google Sheets, or asset management tools

- For EE candidates: familiarity with power distribution, UPS systems, generators, switchgear, transformers, or PDUs

- For ME candidates: familiarity with cooling systems, chillers, pumps, piping, valves, CRAHs, or controls

- Prior internship, project, lab, or field experience

Salary Range Information

This is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate 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.