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.
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