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VP Robotics
Job in
Redmond, King County, Washington, 98052, USA
Listed on 2026-09-12
Listing for:
Meta
Full Time
position Listed on 2026-09-12
Job specializations:
-
Engineering
Robotics
Job Description & How to Apply Below
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.
- 15+ years of technical industry experience
- 10+ years of management experience
- Experience as VP or C-level of an engineering organization at a company operating at scale
- Experience managing and scaling organizations
- Experience shipping physical hardware products to customers at volume, with ownership of the outcome
- Experience owning a multi-year hardware and software program through to launch, including schedule, quality, and cost commitments
- Experience leading hardware productization in partnership with supply chain, manufacturing, and contract manufacturers
- Experience integrating advanced software or AI capabilities into shipping consumer or commercial products
- Experience initiating and driving projects to completion with minimal guidance
- Experience analyzing, interpreting, and leveraging data to make business decisions
- Experience managing robotics and engineering products at scale
- Experience bringing a new hardware product category from concept to high-volume production
- Experience with new product introduction, design and production validation, manufacturing ramp, and supplier qualification
- Experience owning cost of goods, bill of materials, and margin structure for a hardware product line
- Experience with consumer product safety, regulatory certification, and reliability qualification for physical autonomous systems
- Working familiarity with modern robot learning and how it translates into product capability: reinforcement learning, imitation learning, sim-to-real transfer, and manipulation
- Experience retaining senior engineering and AI talent through organizational or leadership change
- Advanced degree in Robotics, Engineering, Computer Science, Machine Learning, or a related field
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