Hardware Electrical Engineer - Research

Meta Meta · Big Tech · Redmond, WA

Hardware Electrical Engineer role focused on designing, developing, and integrating electrical systems for consumer hardware and infrastructure. The role involves schematic design, board layout, hardware bring-up, debugging, and collaboration with cross-functional teams. While not directly building AI models, the engineer is expected to integrate AI tools into workflows, demonstrate ongoing AI skill development, and adhere to ethical AI practices, indicating an AI-adjacent function within a mature AI company.

What you'd actually do

  1. Own electrical development of complex subsystems or moderately complex systems, under guidance from technical leads or managers
  2. Lead schematic design, board layout, and cross-functional design reviews
  3. Propose innovative solutions to enhance system or product performance, reliability, and features
  4. Manage hardware bring-up, debugging, and support for manufacturing, assembly, or deployment
  5. Evaluate vendor reference designs and adapt them to Meta’s requirements

Skills

Required

  • Bachelor's or Master’s degree in Electrical Engineering, or relevant technical field, and/or equivalent practical experience
  • 6+ years of experience in electrical design
  • Demonstrated expertise in designing and troubleshooting complex electrical systems or subsystems
  • Proficiency in interpreting and creating electrical schematics, designing physical layouts (e.g., PCBs or panel/plant layouts), and/or performing hardware/system bring‑up and debug at the lab or field level
  • Experience collaborating across engineering disciplines and with external partners or vendors
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Evidence of organization, communication, and documentation skills used to bring new technologies and product categories to market in a complex environment
  • Experience leveraging technical and product development experience and cross-collaboration relationships to influence product direction
  • Experience in an applied research organization
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Nice to have

  • Experience with robotic systems, health/medical devices, or wearable technologies

What the JD emphasized

  • delivering/shipping high-volume products
  • working in research, prototyping, or early-stage development environments
  • AI tools to optimize/redesign workflows
  • ongoing AI skill development
  • responsible, ethical AI practices