Lambda
Staff Mechanical Engineer
San Francisco Office (Fremont St) · Staff+
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About the role
- 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.
Responsibilities
- Own mechanical design standards and reference architectures for large-scale AI data centers.
- Develop cooling architectures for greenfield, retrofit, and partner-operated facilities.
- Design central plants, heat-rejection systems, hydronic distribution, air-cooling systems, and direct-to-chip liquid-cooling infrastructure.
- Perform cooling-load, heat-transfer, hydraulic, pressure-drop, psychrometric, and equipment-capacity calculations.
- Develop and review P&IDs, equipment schedules, layouts, specifications, sequences of operation, and basis-of-design documents.
- Evaluate designs for capacity, redundancy, failure isolation, maintainability, efficiency, water use, constructability, cost, and schedule.
- Review partner designs, vendor submittals, construction documents, and equipment packages for compliance with Lambda standards.
- Coordinate mechanical interfaces with electrical systems, controls, building structure, hardware engineering, construction, commissioning, and operations.
- Support equipment selection, long-lead procurement, factory testing, construction sequencing, commissioning, and system bring-up.
- Investigate cooling failures and operational risks, driving lessons back into future designs.
Requirements
- Hold a bachelor's degree in mechanical engineering or equivalent practical experience.
Nice to have
- Experience designing hyperscale, colocation, HPC, or AI data centers.
- Experience with high-density GPU infrastructure and direct-to-chip liquid cooling.
- Experience with CDUs, warm-water cooling, dry coolers, adiabatic systems, or water-side economization.
- Familiarity with CFD, Pipe-Flo, AFT Fathom, Revit, or comparable engineering tools.
- Experience with water chemistry, glycol systems, filtration, flushing, and cooling-system cleanliness requirements.
- Experience supporting factory testing, commissioning, integrated systems testing, or failure investigations.
- Professional Engineer licensure or progress toward licensure.
- 401k Plan with 2% company match (USA employees)
Skills
- Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence.
- One person, one GPU.
Compensation
- 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.
- We offer generous cash & equity compensation
Benefits
- We have research papers accepted at 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
- Flexible paid time off plan that we all actually use
Company info
- 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.
Equal opportunity
- 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.
- Equal Opportunity Employer
Visa & Work Authorization
- ational 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
This listing is sourced directly from Lambda's careers page and normalized into a canonical job model.