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About the Role
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers, ranging from AI researchers to enterprises and hyperscalers. Our mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence.
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.
- 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 submittents, 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.
Requirements
- 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.
- 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
- Mechanical Design
- Data Center Cooling
- P&IDs
- Equipment Schedules
- Technical Specifications
- Engineering Calculations
- Hydronic Systems
- Heat Transfer
- Chilled-Water Systems
- Heat Rejection
- Pumping
- Filtration
- Water Treatment
- CFD
- Pipe-Flo
- AFT Fathom
- Revit
Location
- San Francisco, CA
- San Jose, CA
Work Type
- Hybrid
Education Level
- Bachelor's degree in mechanical engineering or equivalent practical experience.
Benefits
- 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
About the Company
- Founded in 2012, with 500+ employees, and growing fast.
- 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.
- Have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG.
- Values are publicly available: https://lambda.ai/careers.
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.