Meta
Technical Lead, Power Systems Infrastructure
$260K–$319K
Menlo Park, CA · Full-time · Posted Oct 10, 2026
- Experience
- 15+ years in power electronics; 10+ years in rack-level or data center power system design and deployment.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience; B.S. in Electrical Engineering, Power Electronics, or equivalent practical experience.
About the job
Leads Meta’s multi-generation power architecture strategy for data center, rack, and processor or accelerator infrastructure, from site interfaces through on-board power delivery.
What you'll do
- Own rack, row, and data center power architecture roadmaps and drive adoption across teams.
- Set technical direction for high-power AC/DC and DC/DC conversion, including processor and accelerator power delivery; lead design reviews, qualification, and resolution of field issues.
- Align suppliers and industry partners with Meta’s roadmap, while mentoring engineers and coordinating power-driven system and site trade-offs.
What they ask for
- 15+ years in power electronics, including high-power AC/DC and DC/DC conversion topologies.
- Experience delivering high-power products into volume production through the full design cycle.
- 10+ years of rack-level or data center power system design and deployment experience.
- Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience; B.S. in Electrical Engineering, Power Electronics, or equivalent practical experience.
Nice to have
- MS or PhD in Electrical Engineering or Power Electronics.
- Industry contributions in power conversion or distribution, such as OCP specifications, standards participation, publications, or patents.
Pay
$260,000/year to $319,000/year USD base salary
Tools
Cadence, PSpice, Simetrix/Simplis, I2C/PMBus, Modbus, CANbus
AI focus
Ongoing AI skill development, including prompt and context engineering and agent orchestration; integrate AI tools to redesign workflows and drive measurable efficiency or quality improvements.
Model-written summary · the original posting is authoritative