Job Information
Meta AR/VR Product Design Engineering Lead, Reality Labs in Redmond, Washington
Summary:
At Reality Labs we aim to bring together the brightest cross-disciplinary minds in one place to deliver on our mission: build tools that help people feel connected, anytime, anywhere. As a Product Design Engineer, you will take a critical role in developing Systems for VR, AR, or New Technology Initiatives. You will become part of a team exploring developing concepts through prototyping and into mass-production consumer electronics. You will work as part of a cross functional team requiring collaboration and curiosity in domains other than mechanical engineering. Our ideal candidate has strong mechanical engineering fundamentals, prototyping skills, CAD fluency, manufacturing process knowledge, and experience designing consumer electronics.
Required Skills:
AR/VR Product Design Engineering Lead, Reality Labs Responsibilities:
Adopt a leading role in architecting complex mechanical solutions that advance the state-of-the-art as part of multi-disciplinary team
Model, build, test, and refine prototypes and characterization test systems
Work across the full product development cycle, from concept inception to shipping product
Effectively leverage both internal and external teams (CM/JDM/Vendors) to maximize the focus of our resources on adding value and differentiation to our products
Champion engineering excellence and establish the design process, influencing the organization and leadership
Act as a subject matter expert in specific areas such that they can mentor and educate senior team members across Reality Labs
Travel to external vendors up to 20%
Minimum Qualifications:
Minimum Qualifications:
BS in Mechanical Engineering or equivalent industry experience
8+ years of product design and development experience of complex electronics
Knowledge of high-volume manufacturing techniques (stamping, machining, injection molding, etc.)
Experience in Design for Manufacturability (DFM), Design for Assembly (DFA), statistical tolerance analysis techniques, functional dimensioning, geometric tolerancing, and 3D/2D CAD
Working knowledge in material properties, such as plastics, metal, adhesive, glass, etc.
Testing and analysis experience (FEA, Simulation, Design of Experiments, etc.)
Preferred Qualifications:
Preferred Qualifications:
MS or PhD in Mechanical Engineering or related field
10+ years of product design and development experience of handheld and/or wearable electronics for high volume manufacturing, including full systems ownership
Experience with architecture and systems engineering across systems including electrical, firmware, mechanical, and optical systems
Experience developing novel end-to-end system architectures spanning compute, displays/optics, EE, sensors, calibration, and firmware for new products from initial conception through prototyping, NPI, and production ramp
Experience working with partnerships teams and external partners at both a supply base and product level
Experience providing product feedback in addition to technical feedback on engineering and design work
Experience developing multiple novel consumer electronics products from a blank slate to functioning prototypes to shipping
Public Compensation:
$204,000/year to $281,000/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 stereotypes, 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.
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