EMC Design Engineer

Meta Reality Labs is seeking an Electromagnetic Compatibility (EMC) Design Engineer to help design and validate the hardware systems powering next-generation virtual and augmented reality devices. In this role, you will apply signal integrity, power integrity, and EMC principles to ensure reliable, high-performance operation of wearable computing platforms, including VR headsets and AR glasses. You will work across the full hardware development lifecycle, from early schematic review through board bring-up and regulatory compliance testing, contributing directly to the quality and reliability of immersive computing experiences.

Responsibilities

• Contribute to EMC grounding and shielding design, collaborating with different engineering teams to balance system/product constraints with the various compliance standards
• Contribute to design specifications and guidelines with clear risk trade-offs to our cross-functional partners
• Collaborate on the development of simulation methodology and flow for complex system-level product design needs, from DC to EM frequency band for Electromagnetic and multi-physics effects
• Support design troubleshooting through the use of simulation and lab data; propose corrective actions, drive failure analysis, root cause efforts, and design experiments to resolve problems

Minimum qualifications

• Bachelor's degree or Master's or Ph.D.'s degree in Electrical Engineering, Physics, Mathematics, a relevant technical field, or equivalent practical experience
• 2+ years of industry experience in EMC design and simulation
• Experience in EM simulation and measurement areas
• Possess the EM fundamentals, including grounding and shielding theory
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment 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)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Master’s or PhD in Electrical Engineering, Physics, Mathematics, or related field (or equivalent experience)