Product Design Engineer
at Meta
Location
Sunnyvale, CA; Redmond, WA
Compensation
$173k–$245k USD
Type
full time
Posted
6 months ago
Market range · company + function + seniority
p25 · target · p75 · n=162
Posted $245k · in the market band
Posting health
Aging · 65- ·Open 187 days
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Job description
Meta's Hardware engineers are at the forefront of innovation, driving the design and development of hardware systems that power the future of human connection. Across Infrastructure, Reality Labs, Robotics, and Research, our teams tackle complex challenges in consumer electronics, data centers, advanced robotics, opto-mechanical systems, and more. We bring together cross-disciplinary minds to invent, prototype, and deliver products and platforms that connect billions of people worldwide. As a Mechanical/Product Design Engineer, you are a technical authority and thought leader responsible for solving the most ambiguous hardware problems. You will lead major, cross-functional initiatives, setting technical direction and driving engineering across the broader organization. This role is for someone who can operate in a complex problem spaces, invent novel solutions, and act as a force multiplier by mentoring other engineers and influencing long-term functional strategy.
Responsibilities
- Own the mechanical architecture for key research initiatives and/or entire products or product families. Lead the design of critical components and full systems, solving technical problems that few others in the organization can, and ensuring robust end-to-end product development and integration
- Proactively identify and solve critical, long-term, and often ambiguous problems that impact strategic objectives. Influence key leaders and functional strategy, and participate in the development of the organization's technical roadmap
- Act as a recognized and thought leader, sought out for advice across multiple teams. Create and leverage formal networks with key internal and external contacts. Recruit, onboard, and serve as a mentor to other engineers, elevating the entire team
- Drive investments in engineering craft, advocate for higher product quality and efficiency, and establish new best practices to resolve business-critical challenges
- Bring clarity to undefined problems and develop novel approaches for issues with unclear or variable factors. Exercise judgment to drive comprehensive solutions that align with broader organizational goals and future implications
Minimum Qualifications
- Bachelor’s degree in Mechanical Engineering or a related field and/or equivalent industry experience
- 8+ years of industry experience in mechanical design, with a track record of delivering breakthrough products and technologies for high‑volume commercial products and/or designing complex electromechanical systems in a research/prototype environment
- Recognized expertise in a relevant technical domain and a history of solving novel, loosely defined technical problems
- Track record of driving technical direction, mentoring engineers and influencing the strategy of cross-functional teams
- Demonstrated expertise across the full product development lifecycle, from architecture to high-volume manufacturing
- Experience creating and driving technical roadmaps and contributing to organizational-level strategy 10+ years of product design and development experience of handheld and/or wearable electronics for high volume manufacturing, including full systems ownership
- MS or PhD in Mechanical Engineering
- Experience designing handheld and wearable electronics for high volume manufacturing
- Experience with NX
- Experience with products cosmetic surface treatments and interfacing with industrial design teams
- Professional working proficiency in Mandarin and/or Cantonese skills preferred due to partnerships with external clients
- Experience designing for human factors
- Demonstrated experience 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
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