Lead Electrical Engineer, Smartglasses

Lead Electrical Engineer, Smartglasses# Lead Electrical Engineer, Smartglasses Sunnyvale, CA Hardware+ 3 more Apply nowAs 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 quality, rapid iteration, and creative problem-solving.

---## Lead Electrical Engineer, Smartglasses Responsibilities
* Lead the electrical development of highly complex systems or multiple subsystems, driving technical direction and architecture
* Define and drive electrical architecture, system integration, and technical strategy for major projects
* Lead cross-functional design reviews, resolve technical conflicts, and ensure alignment across engineering disciplines
* Drive innovation by identifying and implementing new technologies, processes, or methodologies to improve system/product performance, reliability, and features
* Oversee hardware bring-up, debugging, and support for manufacturing, assembly, deployment, or operational readiness at scale
* Evaluate and influence vendor and partner solutions, ensuring alignment with Meta’s requirements and long-term strategy
* Mentor and coach engineers at all levels
* Operate autonomously, set direction for teams, and manage priorities across multiple projects or work streams
* Collaborate globally across distributed teams, influencing cross-organization initiatives and technical strategy
* Champion operational clarity, compliance, and specialized requirements, driving continuous improvement and best practices##

Minimum Qualifications
* Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field, and/or equivalent industry experience
* 8+ years of experience in electrical design, including system-level architecture and integration
* Demonstrated technical leadership in at least one electrical engineering domain (e.g., power, display, sensors, infrastructure, high-speed interfaces, analog/mixed-signal)
* Documented experience delivering products or systems from concept through prototyping, validation, and mass production or large-scale deployment
* Experience leading cross-functional engineering teams and mentoring engineers
* Proficiency with industry-standard design, simulation, and analysis tools (e.g., Cadence, Altium, SPICE, MATLAB, or similar)
* Experience communicating technical decisions to technical and non-technical stakeholders (e.g., design reviews, technical specifications, project updates)##

Preferred Qualifications
* MS or PhD in Electrical Engineering or Computer Engineering
* 12+ years of industry experience in electrical design
* Previous technical lead (TL) experience — leading a product team or driving architecture/technology exploration end-to-end
* Experience with flex circuit design, complex MLB designs (SIP), or board-level design beyond system EE
* Background in consumer electronics product development, ideally wearables or compact form-factor devices
* Experience with high-speed signaling over MIPI C-PHY/D-PHY, PCIe, USB SS, and UFS
* Experience in one or more adjacent EE domains:
Display, Camera/Vision systems, Power/PMIC, Analog/Mixed-Signal, or Silicon IC FAE (e.g., TI, Renesas, Maxim, Qualcomm)
* Experience with IMUs/sensor physical sensor systems with an understanding of calibration methods
* Experience with audio technologies
* Experience programming in languages like Python or C/C++
* 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…