Staff Mechanical Engineer
San Francisco, United States · Hybrid · Full-time
- Posted 3w ago
- From Lambda’s careers page
- Location
- San Francisco, United States
- Work mode
- Hybrid
- Type
- Full-time
- Level
- Staff
- Department
- Data and Analytics
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About the role
What You’ll Do
- 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.
- Select and size chillers, cooling towers, dry coolers, pumps, heat exchangers, CRAHs, CDUs, piping, valves, and water-treatment systems.
- Evaluate designs for capacity, redundancy, failure isolation, maintainability, efficiency, water use, constructability, cost, and schedule.
- Translate GPU, rack, and cluster thermal requirements into facility cooling requirements.
- 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.
- Travel to project sites, manufacturers, and partner facilities as needed.
You
- Have experience designing mechanical systems for data centers, mission-critical facilities, central plants, or large industrial environments.
- Understand hydronic systems, heat transfer, chilled-water systems, heat rejection, pumping, filtration, and water treatment.
- Can develop and review P&IDs, mechanical layouts, equipment schedules, technical specifications, and engineering calculations.
- Understand mechanical redundancy, failure domains, maintainability, and operational requirements.
- Can evaluate system performance across changing weather conditions and compute loads.
- Understand applicable mechanical, plumbing, energy, and safety codes and standards.
- Can balance cooling performance, efficiency, water consumption, reliability, cost, and delivery schedule.
- Communicate clearly across engineering, construction, operations, vendors, and executive stakeholders.
- 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.
Skills they ask for
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About Lambda
AI compute in the cloudLambda provides cloud GPU compute, clusters and AI infrastructure for researchers, startups and enterprises.
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