Solution

As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs.

We are a next‑generation humanoid robotics company building safe, reliable, and cost‑effective robots for industrial environments. Our engineering organization spans software, hardware, systems, test, and manufacturing — and our ability to continuously improve these capabilities defines our long‑term advantage.

We are now embedding an AI‑Powered Continuous Improvement Flywheel across the company to drive up the level of automation, accuracy, and velocity in how we design, test, and manufacture our robots.

The Business AI Lead – Engineering will be central to this transformation, helping our engineers use AI as a co‑engineer: accelerating design iteration, simulation, validation, and manufacturing readiness.

As Business AI Lead – Engineering, you will identify, develop, and scale AI solutions that enhance productivity, reliability, and innovation across our full engineering value chain.

You will collaborate deeply with capability owners in Software, Mechanical, Electrical, Systems, Test, and Manufacturing engineering to automate key workflows, improve design quality, and reduce engineering cycle time — all while ensuring that outputs remain accurate, secure, and compliant.

You’ll be part of a growing cross‑functional business AI team that operates alongside our Transformation and IT groups to embed AI into the way we work every day.

What You’ll Do

• AI Enablement for Engineering

• Identify high‑impact use cases across R&D, validation, and production engineering.

• Deploy AI copilots, simulation tools, and optimization engines into engineering workflows.

• Define measurable performance gains and lead pilot‑to‑scale deployment cycles.

• Integration & Collaboration

• Work with IT to integrate AI into PLM, CAD, test, and data systems.

• Partner with Engineering Capability Owners to align AI initiatives with maturity targets.

• Ensure secure handling of engineering data and models.

• Performance & Quality

• Measure and report automation, accuracy, and adoption metrics.

• Use AI‑driven insights to accelerate design-for-excellence reviews and failure analysis.

• Support DFX and reliability efforts with predictive analytics.

We’re Looking For

• 7+ years in engineering leadership, R&D operations, or data/AI enablement within complex hardware or robotics systems.
• Deep understanding of software or hardware engineering workflows and tools.
• Experience applying AI or ML models to design, simulation, test, or manufacturing.
• Strong cross‑functional communicator with a track record of operational improvement

Nice to have

• Experience with generative design, code copilots, or AI‑assisted verification.
• Background in robotics, industrial automation, or aerospace product development.
• Familiarity with DFX, reliability, and PLM integration.

What We Offer

• Competitive salary plus participation in our Stock Option Plan.
• Paid vacation with adjustments based on your location to comply with local labor laws.
• Travel opportunities to our Vancouver and Boston offices.
• Office perks: free breakfasts, lunches, snacks, and regular team events.
• Freedom to influence the product and own key initiatives.
• Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
• Startup culture prioritising speed, transparency, and minimal bureaucracy.

How to Apply

Does this role sound like the perfect fit for you?

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