Hardware Test & Automation Engineer

Meta Meta · Big Tech · Redmond, WA

This role is for a Hardware Electrical Engineer focused on designing, developing, and integrating electrical systems for Meta's hardware products. Responsibilities include schematic and board design, lab work, troubleshooting, and collaborating with cross-functional teams. A significant portion of the role involves test automation, data analysis, and supporting manufacturing test operations, with an emphasis on integrating AI tools to improve workflows and adhering to ethical AI practices.

What you'd actually do

  1. Design, develop, and validate electrical subsystems or simple systems for Meta’s hardware products, with increasing independence
  2. Create schematics, direct board layout, and participate in design reviews
  3. Document requirements, specifications, and test criteria for modules and systems
  4. Conduct feasibility studies and analysis to evaluate new technologies and components
  5. Support manufacturing builds, hardware bring-up, and troubleshooting activities

Skills

Required

  • Bachelor's or Master’s degree in Electrical Engineering, or relevant technical field, and/or equivalent practical experience
  • 2+ years of experience in electrical design or a relevant technical field
  • Proven knowledge of electrical engineering fundamentals and circuit and/or system design
  • Experience with schematic and board design using industry-standard tools (e.g., Cadence OrCAD, Altium)
  • Hands-on experience with lab equipment and debugging/automating hardware
  • Experience working with at least one of the following: digital signal processing, real-time image processing, display engineering, camera modules, mobile SoC/PMIC, or battery management systems
  • 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
  • Experience providing day-to-day technical oversight of JDM partner manufacturing test operations, including reviewing test setups, fixtures, and procedures to ensure they meet product requirements
  • Experience reviewing and analyzing manufacturing test data and assisting in failure analysis activities for manufacturing test escapes and field returns
  • Experience supporting design verification of electrical subsystems by leading the review of test plans and test results from the external teams, providing technical feedback and guidance
  • Experience developing and maintaining test automation tooling and scripting to support data collection, analysis, and reporting for both manufacturing test and design validation workflows
  • Working proficiency in Python for test automation, data analysis, or tooling development
  • Experience participating in hardware engineering design reviews and provide Design for Test (DFT) and Design for Manufacturing (DFM)
  • Experience supporting test infrastructure improvements, including test station setup, instrumentation configuration, and data pipeline development
  • Experience with test equipment and measurement techniques for verifying and validating electrical hardware (oscilloscopes, DMMs, power supplies, signal generators, etc.)
  • Demonstrated experience with electrical design validation or system-level verification of consumer electronics hardware
  • Understanding of basic statistical methods for analyzing manufacturing test data (yield analysis, Cpk, GR&R, etc.)
  • Familiarity with automated test equipment, test fixture design, and mechanical concepts as they relate to manufacturing test setups
  • Experience working in an R&D or prototyping environment where requirements evolve and priorities shift frequently
  • Experience in consumer electronics or low-power battery-operated device development
  • Effective communication skills for working across internal teams and external manufacturing partners

What the JD emphasized

  • AI tools to optimize/redesign workflows
  • responsible, ethical AI practices
  • ongoing AI skill development
  • test automation tooling and scripting