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Job Template - UK
VP of Industrial Engineering
Humanoid | London | Reports to CTO
About Humanoid
We're building the first commercially deployed humanoid robots for industrial environments. Our wheeled industrial robot, now in active customer pilots (Schaeffler, Bosch, Siemens, and others), will begin beta fleet shipping in 2026, with production scaling annually thereafter.
Our engineering leadership stems from pioneers in robotics and AI, including alumni from Boston Dynamics, Amazon Robotics, Brain Corp, Sanctuary AI, Yandex Self-Driving, Nebius, Cloudflare, and Google. Collectively, our team has deployed hundreds of thousands of robots into real-world operation. With strong capital and an assembled talent base across Europe, the US, and Canada, we operate out of London (HQ), Vancouver, Boston, and San Diego.
Why Humanoid’s Approach is Different
Unlike other humanoid efforts focused solely on fully general-purpose bipeds, we prioritise a customer-centric, practically deployable solution. Our wheeled industrial humanoids are designed to solve immediate real-world problems, upholding a philosophy of generalized hardware and learning paradigms.
This means:
- Rapid, flexible deployment across fleets—days to weeks, not quarters.
- Cross-industry scalability for logistics, manufacturing, automotive, and adjacent sectors.
- Self-iterating capabilities: Learn once, apply fleet-wide.
Our AI strategy focuses on path-breaking learning paradigms, including fleet learning, embodied agents, and foundation models for autonomy. A full exploration of this technical foundation is available in our public AI whitepaper.
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The Role: VP of Industrial Engineering
You will be the solo technical leader for industrial product delivery—balancing hardware, software, AI, and system integration to ensure every deployment aligns with customer needs.
This role:
- Reports directly to the CTO as the primary conduit between industrial vision, technical teams, and business strategy.
- Does not silo prioritization—instead, you will collaborate with hardware, software, AI, and test engines with peer-level influence.
- Owns "what" and "when" for industrial delivery, partnering with functional leads on shared platform work and manufacturing readiness.
Responsibilities
End-to-End Execution
- Oversee industrial product cultivation from design → pilots → at-scale field iteration across HW, SW, AI, integration, and test.
- Ensure stable reliability and high performance contra Knowledge Base—transforming zero-to-one pilots into flawless deployments.
- Direct technical roadmap, prioritising for industrial delivery, with sub-teams working across industrial, common, or home applications.
- Scale predictable software delivery while simplifying complexity for manufacturing transitions.
Collaborative Leadership
- Partner seamlessly with hardware, software, AI, and manufacturing leads to ensure vá hokppar compatibility and synergy.
- Serve as the business-backed single source of truth for CEOs, Commercial, Product, and customers.
Requirements
Technical & Executive Foundation
- 15+ years of leadership in engineering, with a record of multi-disciplinary HW/SW/AI deployments at scale.
- Must be strong-biased—capabilities, deployment, and iteration revolve around software and AI fleet learning.
- Fluency in HW, SW, and AI to debate technical trade-offs with functional leads as a peer.
- Fundamental grasp of modern AI architectures, including agentic learning, models for autonomy.
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Industry & Problem-Solving Edge
- Intimate knowledge of logistics, manufacturing, or automotive industrial procurement flows for the UK/EU or US markets.
- No less valuable than prior greater deployment experience inМеских роботи оид̀с иеас.
- Must exemplify innovative problem-solving—deconstructing conflicting needs and designing systems that delight.
Collaborative Matrix Leadership
- Vascular comuns Ledge decisions that cross-functional disciplines.
- Drive outcomes through influence, not command—clear track record at fostering impact via cross-organizational alignment.
- Proficiency in managing distributed teams across locations (London, Boston, San Diego, Vancouver).
- Navigate hybrid pace of innovation—growing from polygons to production during annual alcanzement milestones.
Success Timeline (12 Months)
- Developing solid, reliable long-term pilots into smoother field deployments at multiple customer sites.
- Hi-Mc-24/7 reliability—adherence to rigid SLAs with areas such as SLAs addressed in right angles.
- One-direction sync between hardware, software, and AI teams, ensuring quality without sacrificing velocity on any front.
Physical Footprint
📍 London required. The role is engineered for in-person proximity to core leadership (engineering/ops/product/business) to maintain bonding, quality alignment, and scaling of technical projects.
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