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 DoVerify data center electrical or mechanical infrastructure against existing documentationConduct checklist-driven reviews of assigned systemsCompare field conditions against drawings, diagrams, equipment records, and asset inventoriesDocument equipment labels, configurations, ratings, and discrepanciesUpdate draft system maps, inventory records, and documentation inputsCapture operating parameters in standardized templatesFlag documentation gaps and potential resiliency concerns for senior engineer reviewPrepare site audit summaries for the Infrastructure Engineering teamRecommend improvements to audit checklists and workflowsYouCurrently pursuing a Bachelor's or Master’s in Mechanical Engineering or related field.Are detail-oriented and comfortable working from checklistsCan read technical documentation or are eager to learnCommunicate clearly in writingAre comfortable working under supervision in a structured engineering environmentAre interested in data centers, infrastructure, reliability, or mission-critical systemsNice to HaveFamiliarity with data center, facility, lab, industrial, or infrastructure environmentsExposure to CAD, Bluebeam, Excel, Google Sheets, or asset management toolsFor EE candidates: familiarity with power distribution, UPS systems, generators, switchgear, transformers, or PDUsFor ME candidates: familiarity with cooling systems, chillers, pumps, piping, valves, CRAHs, or controlsPrior internship, project, lab, or field experienceSalary Range InformationThis 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 LambdaFounded in 2012, with 500+ employees, and growing fastOur 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 CoveWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGOur values are publicly available: https://lambda.ai/careersWe offer generous cash & equity compensationHealth, 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 NoteYou 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.