Electrical Engineer, Data Center Electrical Design Engineering

Meta Meta · Big Tech · Menlo Park, CA

Electrical Engineer for Data Center Electrical Design Engineering at Meta, focusing on power system engineering and stability for next-generation, high-power density compute platforms. Requires expertise in electrical modeling, system-level troubleshooting, and technical strategy for critical facilities.

What you'd actually do

  1. Hold comprehensive technical ownership for the power system engineering of next-generation, high-power compute platforms across the full product lifecycle
  2. Drive extensive system investigations into power and electrical stability across multiple generations of high-power rack systems in a data center setting
  3. Lead the production of critical safety and design deliverables, including protection and safety design and analysis for high-voltage Direct Current (HVDC) distribution systems
  4. Utilize electrical modeling and simulation tools to analyze rack and row level power distribution components such as busways, tap-off boxes, power distribution units, capacitors, and batteries
  5. Perform complex system-level modeling, including harmonic and impedance analysis across large-scale data center sites, to proactively mitigate design and deployment risks

Skills

Required

  • BS/MS in Electrical Engineering with focus on Power Systems Design, or a related technical field
  • 10+ years of experience in electrical or power system engineering, including design, modeling, or validation testing for critical infrastructure
  • Experience within hyperscale data centers, high-power hardware development, or similar critical infrastructure environments
  • Expertise in advanced modeling (e.g., electromagnetic, AI and non-AI loads, etc.) techniques for complex data center hardware designs (e.g., high-power racks, high-current conductors, busbar systems, etc.)
  • Relevant experience and expertise in electrical power simulation software - e.g., ETAP, EMTP, PSSE, PSCAD, EasyPower, Powerworld, Matlab Simulink etc
  • Track record of troubleshooting and root cause isolation in complex electrical systems
  • Experience leading electrical component/equipment deployment, testing, and failure analysis across multiple complex hardware programs
  • Solid troubleshooting and analytical skills
  • Experience presenting technical findings and recommendations to cross-functional engineering and leadership audiences
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • MS/Ph.D. in Electrical Engineering, Power Systems, or a closely related field
  • Expertise in HVDC electrical design, system modeling, and safety/transient studies for high-power IT racks
  • Working knowledge of FERC/NERC interconnection requirements for large load interconnections
  • Experience in designing data centers served with behind-the-meter (BTM) or islanded onsite generation with integrated inverter-based technologies such as battery energy storage systems (BESS), super-capacitors, and other technologies
  • Demonstrated ability to be a proactive driver and owner of major, long-term power infrastructure architectural roadmaps for the organization
  • Experience defining strategic vision and setting the technical strategy for future power infrastructures

Nice to have

  • AI and non-AI loads modeling
  • prompt/context engineering
  • agent orchestration

What the JD emphasized

  • high-power density compute platforms
  • sophisticated electrical modeling
  • advanced system-level troubleshooting
  • long-term technical strategy
  • high-voltage Direct Current (HVDC) distribution systems
  • harmonic and impedance analysis
  • root cause analysis for switching transients, ground fault issues, and component failures
  • next-generation AI workload power characteristics
  • AI tools to optimize/redesign workflows
  • responsible, ethical AI practices
  • ongoing AI skill development
  • emerging AI technologies