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Staff Mechanical Engineer

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

CHECKED 3H AGO

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

At a glance

Highlights

  • Own mechanical design standards for large-scale AI data centers.
  • Design central plants and direct-to-chip liquid-cooling infrastructure.
  • Translate GPU cluster thermal needs into facility cooling requirements.

What they offer

  • Equity compensation
  • Health, dental, and vision coverage
  • Wellness and commuter stipends
  • 401k plan with 2% company match
  • Flexible paid time off

Ideal candidate

Mechanical engineer with mission-critical cooling background who cares about efficiency, reliability, and scale and enjoys partnering across engineering, construction, and operations to deliver AI data centers.

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, specifications, and 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 schedule
  • Communicate clearly across engineering, construction, operations, vendors, and executives
  • Bachelor's degree in mechanical engineering or equivalent practical experience
remote policy
Work from home on Tuesdays, in office 4 days per week

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 ↗