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Staff Mechanical Engineer - Data Center Cooling

Lambda Labs · San Francisco Office (Fremont St) · San Jose Office (First St)

Infrastructureremotestaff$349k–$465k
Apply on the lab’s site ↗

At a glance

Highlights

  • Own cooling standards for large-scale AI data centers end to end.
  • Design full thermal path from GPU heat capture to heat rejection.
  • Lead cooling bring-up and initial GPU loading at live sites.

What they offer

  • Generous cash and equity compensation
  • Health, dental, and vision coverage for you and dependents
  • Wellness and commuter stipends for select roles
  • 401(k) plan with 2% company match
  • Flexible paid time off plan

Ideal candidate

Mechanical engineer who thrives owning complex cooling systems end-to-end, balancing reliability, efficiency, and delivery to power large-scale AI infrastructure.

Requirements

  • Experience designing cooling systems for data centers, mission-critical facilities, central plants, or large industrial environments
  • Understanding of 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 high-density cooling systems
  • Ability to develop and review P&IDs, equipment specifications, mechanical layouts, and engineering calculations
  • Ability to model system capacity, flow, pressure loss, temperature approach, and performance
  • Understanding of cooling-system redundancy, failure domains, thermal ride-through, and maintainability
  • Understanding of relationship between GPU behavior, rack density, coolant conditions, and facility cooling capacity
  • Clear communication across engineering, construction, operations, vendors, and executive stakeholders
  • Bachelor's degree in mechanical engineering or equivalent practical experience
remote policy
4 days in office per week, 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
More about Lambda Labs →
Apply on the lab’s site ↗

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