Product Design Engineering Intern — AI Glasses

Summary:

Meta Reality Labs is seeking a motivated, self-driven, and passionate Product Design Engineering Intern for a role within its AI Glasses hardware team. The team develops wearable hardware that brings AI capabilities into everyday life. This role focuses on the mechanical design and integration of compact components and assemblies, balancing comfort, appearance, weight, durability, performance, and manufacturability.As a Product Design Engineering Intern, you will work alongside experienced engineers to develop, analyze, prototype, and test mechanical designs and assemblies. With guidance from an engineering mentor, you will contribute to a well-scoped hardware project and gain exposure to cross-functional consumer product development. Join us in helping shape the next generation of AI glasses.

Required Skills:

Product Design Engineering Intern — AI Glasses Responsibilities:

1. Research, design, and prototype mechanical components and assemblies for AI glasses, with guidance from an engineering mentor

2. Create 3D CAD models and 2D engineering drawings, and participate in design reviews

3. Prepare mechanical bills of materials, engineering requirements, and supporting design documentation

4. Assist engineers and partners with material selection, manufacturing process selection, and mechanical integration of electronic components

5. Perform basic engineering analyses, including free-body diagrams, fit and clearance checks, weight estimates, and tolerance analysis appropriate to the project

6. Build prototypes and test fixtures

7. support mechanical, thermal, and environmental testing to evaluate design performance and investigate failures

8. Collaborate with electrical engineering, industrial design, reliability, manufacturing, and relevant technology partners to iterate designs and communicate test results and recommendations

Minimum Qualifications:

Minimum Qualifications:

1. Foundational knowledge of mechanical engineering principles, including statics, mechanics of materials, and material properties, demonstrated through coursework or project experience

2. Experience creating parts and assemblies using 3D CAD software such as Siemens NX, SolidWorks, Creo, or CATIA

3. Intent to return to full-time degree program after completion of the internship

4. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

Preferred Qualifications:

1. Prior internship or project experience in mechanical design, wearable devices, or consumer electronics

2. Familiarity with rapid prototyping methods such as 3D printing, CNC machining, or laser cutting

3. Basic understanding of manufacturing processes such as injection molding, die casting, machining, or sheet metal fabrication, and design-for-manufacturing and design-for-assembly principles

4. Exposure to GD&T, tolerance stack-ups, finite-element analysis, or experimental data analysis

5. Experience with Siemens NX, electromechanical packaging, small mechanisms, or mechanical test fixtures

6. Experience with scripting or data-analysis tools, such as Python or MATLAB, to support testing and analysis

Public Compensation:

$6,688/month to $11,880/month + 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.

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 [email protected].