Senior Mechanical Controls Engineer
Lambda Labs · San Francisco Office (Fremont St) · San Jose Office (First St)
CHECKED 4H AGO
Infrastructureremotesenior$255k–$340k
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