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Summary:
As a Hardware Electrical Engineer at Meta, you will design, develop, and integrate electrical systems for a wide range of applications, from next-generation consumer hardware to large-scale infrastructure. You will collaborate with cross-functional teams-including mechanical, optical, firmware, software, and manufacturing experts-to deliver impactful solutions. Your work may span the full product or system lifecycle, from early prototyping and feasibility studies to large-scale deployment.You will be part of an environment that values technical development, rapid iteration, and creative problem-solving.
Required Skills:
Hardware Electrical Engineer Responsibilities:
Design, develop, and validate electrical subsystems or simple systems for Meta’s hardware products, with increasing independence
Create schematics, direct board layout, and participate in design reviews
Document requirements, specifications, and test criteria for modules and systems
Conduct feasibility studies and analysis to evaluate new technologies and components
Support manufacturing builds, hardware bring-up, and troubleshooting activities
Collaborate across engineering disciplines (mechanical, firmware, software, etc.) to deliver integrated solutions
Troubleshoot and resolve electrical performance and reliability issues
Demonstrate sustained productivity and ownership of assigned areas
Build collaborative relationships with cross-functional partners and contribute to team-level goals
Participate in process improvement, knowledge sharing, and organizational activities as appropriate
Minimum Qualifications:
Minimum Qualifications:
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
Preferred Qualifications:
Preferred Qualifications:
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
MS or PHD in Electrical Engineering or Computer Engineering
Experience with high speed signaling over DP, MIPI, HDMI, and USB SS
Experience with IMUs/sensor physical sensor systems with an understanding of calibration methods
Experience with vision systems
Experience with audio technologies
Experience with circuit design in high speed circuits, Verilog/FPGAs, microcontrollers, microprocessors, firmware, and/or programmable logic based development
Consumer Electronics experience and/or working within a mass production environment
Public Compensation:
$118,000/year to $170,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereo@types, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
