Product Validation Engineer

Meta Meta · Big Tech · Sunnyvale, CA

This role focuses on product validation for consumer electronics, integrating hardware, software, and content. While the role involves using and developing skills in AI tools for workflow optimization and adhering to ethical AI practices, its core function is not the direct development or research of AI models or systems, but rather the validation of products that may incorporate AI components.

What you'd actually do

  1. Execute validation strategies for products integrating hardware, software, and content throughout all stages of consumer product development, from initial design through post-launch support
  2. Perform product and system testing, collaborating with cross-functional teams to establish priorities and ensure effective implementation of test plans
  3. Deliver results from various device testing domains, including functional, performance, new feature, and regression testing
  4. Facilitate collaboration across engineering, program management, and other technical teams to design, develop, and implement rigorous system tests for prototype and production hardware
  5. Formulate and execute comprehensive validation plans, organizing validation efforts efficiently and reporting status using internal tools and progress trackers

Skills

Required

  • systems validation or systems engineering experience in consumer electronics
  • system verification and validation testing methodologies and concepts for hardware products
  • debugging and analysis using metrology, system logs, customer feedback, or software traces
  • technical communication skills
  • integrating AI tools to optimize/redesign workflows
  • implementing responsible, ethical AI practices
  • AI skill development (e.g., prompt/context engineering, agent orchestration)

Nice to have

  • Experience with sensor validation testing
  • Push performance boundaries and discover corner failures
  • knowledge of state-of-the-art test equipment

What the JD emphasized

  • AI tools to optimize/redesign workflows
  • responsible, ethical AI practices
  • ongoing AI skill development