Staff Mechanical Engineer - Data Center Cooling
Lambda Labs · San Francisco Office (Fremont St) · San Jose Office (First St)
CHECKED 4H AGO
Infrastructureremotestaff$349k–$465k
At a glance
Highlights
- Own cooling-system standards for large-scale AI data centers.
- Design full thermal path from GPU heat capture to heat rejection.
- Develop air, liquid, and hybrid cooling for greenfield and retrofits.
What they offer
- Generous cash & equity compensation
- Health, dental, and vision coverage for you and dependents
- Wellness and commuter stipends for select roles
- 401k plan with 2% company match
- Flexible paid time off plan
Ideal candidate
A hands-on thermal systems owner who thrives on high-density AI infrastructure and balances reliability, efficiency, and speed. You enjoy working cross-functionally from design through commissioning to keep GPUs cool at scale.
Requirements
- Experience designing cooling systems for data centers, mission-critical facilities, central plants, or large industrial environments
- Understand hydronic design, heat transfer, pumping, heat exchangers, chilled-water systems, and heat-rejection equipment
- Experience with direct-to-chip liquid cooling, CDUs, technology cooling-water loops, or other high-density cooling systems
- Can develop and review P&IDs, equipment specifications, mechanical layouts, and engineering calculations
- Can model system capacity, flow, pressure loss, temperature approach, and performance across varying conditions
- Understand cooling-system redundancy, failure domains, thermal ride-through, maintainability, and operational risk
- Understand relationship between GPU behavior, rack density, coolant conditions, and facility cooling capacity
- Can balance reliability, efficiency, water consumption, equipment cost, and delivery schedule
- Communicate clearly across engineering, construction, operations, vendors, and executive stakeholders
- Bachelor's degree in mechanical engineering or equivalent practical experience
- remote policy
- 4 days in office, work from home on Tuesdays
Lab profile
About Lambda Labs
The Superintelligence Cloud delivering GPU compute infrastructure for AI researchers and enterprises.
What they build
- GPU cloud infrastructure
- On-demand GPU instances
- Managed Kubernetes for AI workloads
Known for
- AI cloud infrastructure at scale
- HPC platform and hardware engineering
- Data center operations and networking
Key facts
- Serves tens of thousands of customers
- Offices in San Francisco, San Jose and Bellevue
- Data center in Quebec City, Canada