Staff Electrical Engineer - Low Voltage
Lambda Labs · San Francisco Office (Fremont St) · San Jose Office (First St)
CHECKED 4H AGO
Infrastructureremotestaff$349k–$465k
At a glance
Highlights
- Own low-voltage design standards powering high-density AI infrastructure.
- Lead power design from transformer secondary to rack-level GPU delivery.
- Evaluate greenfield and retrofit designs for reliability and efficiency.
What they offer
- 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
- Flexible paid time off plan
Ideal candidate
Experienced mission-critical electrical designer energized by high-density AI infrastructure who translates complex power needs into safe, scalable, maintainable designs.
Requirements
- Experience designing low-voltage electrical systems for data centers, mission-critical facilities, or large industrial environments
- Understand low-voltage distribution, UPS topologies, switchgear, busway, grounding, rack-level distribution, and electrical monitoring
- Understand redundancy models such as N, N+1, 2N, distributed redundant, and catcher architectures
- Can develop and review single-line diagrams, equipment specifications, coordination studies, and commissioning documentation
- Experience with ETAP, SKM, EasyPower, or comparable electrical analysis software
- Understand NEC, NFPA 70E, IEEE, and NETA standards
- Can translate IT equipment requirements into safe, scalable, and maintainable facility designs
- Communicate clearly across engineering, construction, operations, vendors, and executive stakeholders
- Bachelor's degree in electrical 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