Job description

As an EMC Design Engineer on Meta’s Wearables Product Team, you will work directly with the Wearables Design team to influence the design of Meta’s wearables prototypes and future line of consumer products. In this position, you will focus on system level EMC (Electromagnetic Compatibility), EMI (Electromagnetic Interference), ESD (Electrostatic Discharge), and any other electromagnetics-related design and validation activities. Your responsibilities will span across simulation, automation development, bring-up, validation and testing, ensuring that simulation results correlate with real-world performance and driving continuous improvements in EMC design quality throughout all phases of product development. Your expertise will help ensure Meta’s wearables meet applicable standards for electromagnetic performance from concept to launch. 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 tradeoffs to our cross functional partners Collaborate on development of simulation methodology and flow for complicated system-level product design needs, from DC to EM frequency band for Electromagnetic and multi-physics effects Support design troubleshooting through use of simulation and lab data; propose corrective actions, drive failure analysis, root cause efforts, and design experiments to resolve problems Currently has, or is in the process of obtaining a Bachelor's degree in Electrical Engineering, Physics, Mathematics, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta Experience in EM simulation and measurement areas Possesses 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 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 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)

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Keywords to mirror

Platform: meta
Effort: medium