Senior Mechanical Controls Engineer
Lambda Labs · San Francisco Office (Fremont St) · San Jose Office (First St) · Bellevue Office
Infrastructureremotesenior$230k–$340k
At a glance
Highlights
- Own controls standards for mechanical systems in large-scale AI data centers.
- Define automation for cooling plants, heat rejection and liquid-cooling loops.
- Support commissioning and bring-up of cooling systems from factory to site.
What they offer
- Generous cash & equity compensation
- Health, dental, and vision coverage for you and your 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 mission-critical controls engineer who thrives translating complex cooling operations into reliable automation and partnering across teams to bring large-scale facilities live.
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 common protocols such as BACnet, Modbus, and OPC UA
- Have experience with instrumentation, sensor selection, control loops, alarms, interlocks, and equipment safeties
- Understand how mechanical systems should respond during equipment failures, power events, and changing thermal loads
- Can translate operational requirements into clear, testable control behavior
- Communicate effectively with engineers, programmers, vendors, commissioning teams, and facility operators
- Hold a bachelor’s degree in mechanical, electrical, controls, or systems 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
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