VP of Industrial Engineering
Listed on 2026-06-28
-
Engineering
AI Engineer (Applied/Software), Robotics
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we’re growing the team to take it even further.
VPof Industrial Engineering
Humanoid
· London
· Reports to CTO
We're building the first commercially deployed humanoid robots for industrial environments. Our wheeled industrial robot is in active customer pilots today — Schaeffler, Bosch, Siemens and others publicly named — with the first beta fleet shipping in 2026 and production scaling over the years that follow.
Our engineering leadership comes from Boston Dynamics, Amazon Robotics, Brain Corp, Sanctuary AI, Yandex Self-Driving, Nebius, Cloudflare, and Google. Between us, the team has collectively deployed hundreds of thousands of robots into real-world operation. We are well-capitalized with significant runway, and run one of the densest concentrations of robotics and AI talent across Europe, the US, and Canada. Offices in London (HQ), Vancouver, Boston, and San Diego.
Whythis bet
Most humanoid efforts are racing toward fully general-purpose bipeds with five-fingered hands. We made a different call — informed by direct customer conversations and a team that has actually deployed robots at fleet scale in prior companies. Our wedge is the practical one: wheeled industrial humanoids that solve real customer problems today, on a generalized hardware platform with generalized learning paradigms.
What that means for the role:
The combination of generalized hardware and generalized learning lets us deploy and integrate astonishingly fast — high-performance capability landing in customer facilities in days to weeks, not quarters. Industrial customers used to the multi-quarter integration cycles that are the industry norm consistently tell us this looks different. It is.
The AI stack is our long-term flywheel. We are aggressively pushing the envelope on modern robot learning — fleet learning, embodied agents, foundation models for autonomy — and leveraging AI agents across the product workflow itself. The platform is generalized enough that a capability trained once propagates across every robot in the field. Our public AI white paper has more: (Use the "Apply for this Job" box below)./
Therole
You will be the single engineering owner of industrial product delivery — the person who, across hardware, software, AI, and system integration, makes sure what we ship is what our customers actually need, in the order they need it, on the timeline they need it.
You won't run a siloed sub-org. You will work as a peer to our functional engineering leaders — hardware, software, AI, test — leading prioritization for engineers dedicated to the industrial product. Think of this as a technical GM for industrial: you own what and when
; you partner with functional leads who own how
.
This role reports directly to the CTO.
What you'll doOwn end-to-end engineering delivery for the industrial product —
from design, through pilots, through scale and iteration in the field — across HW, SW, AI, and system integration & test.Direct prioritization for the engineers hard-allocated to industrial across our matrixed functions (industrial / common / home). Partner closely with functional leads on shared platform work, and with Ops on manufacturing readiness.
Be the single source of truth on industrial engineering delivery and forward roadmap for the CEO, Commercial team, Product, and customers.
Build a delivery engine that releases production software on a fast, predictable cadence and that scales beyond the first industrial product line.
15+ years in engineering leadership, with a track record of shipping multi-disciplinary HW/SW/AI products at meaningful scale.
Software-biased background. Most of the long-term work here is software and AI — deployment, fleet learning, capability iteration. We need a leader whose center of gravity is software, with the HW and AI fluency…
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search: