**Summary:**

You will lead Meta Robotics Studio and own the delivery of Meta's robotics products — from architecture and industrial design through development, manufacturing, and launch. You will be accountable for the roadmap, the milestones, and the shipped result: robots/ humanoids in the hands of real people, at quality, at cost, and on schedule. You will lead an organization spanning hardware engineering, embodied AI and machine learning, systems software, manufacturing, and operations, and you will build the execution muscle that turns deep technical capability into products people use every day.

**Required Skills:**

VP Robotics Responsibilities:

1. Own the robotics product roadmap and delivery plan — the milestones, the schedule, and the shipped outcome — and hold the organization accountable to it.

2. Drive products end to end through the full development lifecycle: architecture, industrial design, prototyping, design validation, production validation, ramp, and launch.

3. Own hardware productization at scale — manufacturability, quality, reliability, yield, and cost of goods — in partnership with Supply Chain and Manufacturing.

4. Make and defend the consequential product decisions: form factor, platform architecture, build-versus-buy, and what ships in which release.

5. Establish the operating cadence, program management discipline, and execution bar required to ship complex hardware and software on a predictable schedule.

6. Direct applied technical investment toward shipping outcomes — ensuring embodied AI, machine learning, and systems work is sequenced against product milestones.

7. Build, manage and support diverse teams of engineering directors and managers across multiple sites.

8. Provide both technical and organizational leadership.

9. Form cross-functional and cross-discipline partnerships across MSL, TBD, Reality Labs Research, Product, Design, Safety, Supply Chain, Manufacturing, Legal, and Policy.,.

10. Establish effective strategies and execute against them.

11. Own the product-quality, safety, and reliability standard for physical robotic systems, including regulatory and certification requirements for consumer deployment.

12. Foster an environment of respect, integrity, inclusion, and innovation.

13. Recruit and retain top talent across hardware, software, AI, and manufacturing disciplines.

**Minimum Qualifications:**

Minimum Qualifications:

14. 15+ years of technical industry experience

15. 10+ years of management experience

16. Experience as VP or C-level of an engineering organization at a company operating at scale

17. Experience managing and scaling organizations

18. Experience shipping physical hardware products to customers at volume, with ownership of the outcome

19. Experience owning a multi-year hardware and software program through to launch, including schedule, quality, and cost commitments

20. Experience leading hardware productization in partnership with supply chain, manufacturing, and contract manufacturers

21. Experience integrating advanced software or AI capabilities into shipping consumer or commercial products

22. Experience initiating and driving projects to completion with minimal guidance

23. Experience analyzing, interpreting, and leveraging data to make business decisions

**Preferred Qualifications:**

Preferred Qualifications:

24. Experience managing robotics and engineering products at scale

25. Experience bringing a new hardware product category from concept to high-volume production

26. Experience with new product introduction, design and production validation, manufacturing ramp, and supplier qualification

27. Experience owning cost of goods, bill of materials, and margin structure for a hardware product line

28. Experience with consumer product safety, regulatory certification, and reliability qualification for physical autonomous systems

29. Working familiarity with modern robot learning and how it translates into product capability: reinforcement learning, imitation learning, sim-to-real transfer, and manipulation

30. Experience retaining senior engineering and AI talent through organizational or leadership change

31. Advanced degree in Robotics, Engineering, Computer Science, Machine Learning, or a related field

**Public Compensation:**

$486,000/year to $527,000/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.

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.