VP Robotics

Meta; Redmond; On-site; AUD 692,000 - 750,000; Full time

Job summary

Meta seeks a VP Robotics to lead Meta Robotics Studio, owning the delivery of robotics products from architecture through manufacturing and launch. You will manage a multi-site organization spanning hardware, embodied AI, ML, and systems software, ensuring quality, schedule, and cost targets are met.

You will drive product decisions, establish execution discipline, and recruit top talent across hardware, software, and AI.

Qualifications

• 15+ years of technical industry experience.
• 10+ years of management experience.
• Experience as VP or C-level of an engineering organization at scale.
• Experience shipping physical hardware products to customers at volume.
• Experience owning a multi-year hardware/software program through to launch.

Responsibilities

• Own robotics product roadmap and delivery plan — milestones, schedule, shipped outcome.
• Drive end-to-end products through architecture, industrial design, prototyping, validation, ramp, and launch.
• Own hardware productization at scale — manufacturability, quality, reliability, yield, cost with Supply Chain/Manufacturing.
• Make and defend key product decisions: form factor, platform architecture, build-versus-buy, and releases.
• Establish cadence, PM discipline, and execution bar for shipping complex hardware/software.
• Direct investment toward embodied AI, ML, and systems aligned to milestones.
• Build and manage diverse teams of engineering directors and managers across sites.
• Provide technical and organizational leadership.
• Form cross-functional partnerships across MSL, Reality Labs, Product, Design, Safety, Supply Chain, Legal, and Policy.
• Own product-quality, safety, and reliability standards including regulatory certification for consumer deployment.

Skills

Robotics leadership

Hardware productization

End-to-end delivery

Cross-functional leadership

Strategy & roadmap

Manufacturing partnerships

AI/ML integration

Data-driven decisions

Scaling teams

Regulatory knowledge

Product architecture

Education

Advanced degree in Robotics/Engineering/CS/ML

Job description

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:

1. 15+ years of technical industry experience
2. 10+ years of management experience
3. Experience as VP or C-level of an engineering organization at a company operating at scale
4. Experience managing and scaling organizations
5. Experience shipping physical hardware products to customers at volume, with ownership of the outcome
6. Experience owning a multi-year hardware and software program through to launch, including schedule, quality, and cost commitments
7. Experience leading hardware productization in partnership with supply chain, manufacturing, and contract manufacturers
8. Experience integrating advanced software or AI capabilities into shipping consumer or commercial products
9. Experience initiating and driving projects to completion with minimal guidance
10. Experience analyzing, interpreting, and leveraging data to make business decisions

Preferred Qualifications:

Preferred Qualifications:

1. Experience managing robotics and engineering products at scale
2. Experience bringing a new hardware product category from concept to high-volume production
3. Experience with new product introduction, design and production validation, manufacturing ramp, and supplier qualification
4. Experience owning cost of goods, bill of materials, and margin structure for a hardware product line
5. Experience with consumer product safety, regulatory certification, and reliability qualification for physical autonomous systems
6. Working familiarity with modern robot learning and how it translates into product capability: reinforcement learning, imitation learning, sim-to-real transfer, and manipulation
7. Experience retaining senior engineering and AI talent through organizational or leadership change
8. 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 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 [e-mail].