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Senior Mechanical Controls Engineer

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

CHECKED 4H AGO

Infrastructureremotesenior$255k–$340k
Apply on the lab’s site ↗

At a glance

Highlights

  • Own controls standards and reference architectures for large-scale AI data centers.
  • Define automation for central cooling plants, heat rejection and liquid cooling.
  • Support commissioning and bring-up of mission-critical cooling systems.

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 (USA employees)
  • Flexible paid time off plan

Ideal candidate

A hands-on controls engineer passionate about mission-critical cooling who thrives translating operations needs into reliable automation and collaborating across engineering and field teams.

Requirements

  • Experience designing or commissioning mechanical controls for data centers, mission-critical facilities, central plants, or industrial environments
  • Understand chilled-water, condenser-water, heat-rejection, air-cooling, and liquid-cooling systems
  • Can develop and review sequences of operation, P&IDs, control diagrams, wiring diagrams, points lists, and functional test procedures
  • Understand PLC, DDC, and BMS architectures and protocols such as BACnet, Modbus, and OPC UA
  • Experience with instrumentation, sensor selection, control loops, alarms, interlocks, and equipment safeties
  • Understand mechanical system response during equipment failures, power events, and changing thermal loads
  • Bachelor's degree in mechanical, electrical, controls, or systems engineering or equivalent experience
  • Willing to travel to project sites, manufacturers, and partner facilities as needed
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
More about Lambda Labs →
Apply on the lab’s site ↗