Mechanical Engineer: Electronics Packaging and Sensor Integration

Meta Meta · Big Tech · Redmond, WA

Mechanical Design Engineer focused on electronics integration and packaging for robotics, with experience in AI tool integration for workflow optimization and ethical AI practices.

What you'd actually do

  1. Design of humanoid robot components and systems that integrate sensors, electronics, and structure, and mechatronics
  2. PCB and flex PCB mechanical definition, cooling, and integration.
  3. Supporting prototype fabrication and builds: Working with internal/external partners to support part fabrication and robot builds, fixtures and assembly tooling design, assembly procedures
  4. Performance testing and failure analysis: Build subsystem test fixtures, design tests, create test plans, perform tests, measure and analyze data, and refine design assumptions
  5. Work closely with industrial design on overall packaging form, keep-in/keep-out volumes

Skills

Required

  • 8+ years experience in Mechanical Design Engineering
  • experience consumer electronics
  • BS degree or equivalent experience in Mechanical Engineering or a related field
  • Experience designing complex electro-mechanical, tightly integrated, and consumer level solutions
  • Experience with SOLIDWORKS, Siemens NX or similar CAD tools
  • Experience with prototyping manufacturing processes and materials
  • Experience managing time-sensitive projects through to completion while balancing evolving priorities and a broad range of stakeholders
  • Experience in tolerance analysis, geometric dimensioning and tolerancing (GD&T)
  • Experience in Finite Element Analysis (FEA)
  • Experience in Robotics and consumer electronic product design
  • Experience with plastic injection molding
  • Experience driving and leading projects from cradle to grave

Nice to have

  • integrate AI tools to optimize/redesign workflows and drive measurable impact
  • adhering to and implementing responsible, ethical AI practices
  • ongoing AI skill development (e.g., prompt/context engineering, agent orchestration)
  • staying current with emerging AI technologies

What the JD emphasized

  • full-system requirements are seldom known
  • building hardware that enables learning through data collection and testing
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact
  • Experience adhering to and implementing responsible, ethical AI practices
  • Demonstrated ongoing AI skill development