Jobs at Sanctuary AI

Lead machinery safety and regulatory conformity for Sanctuary robotic cells: define safety requirements and risk methodology, perform ISO 12100 risk assessments and functional safety calculations, validate and sign off systems, manage conformity (CE/UKCA/OSHA/CSA), engage third-party certifiers (TÜV/UL/CSA), support import/export safety documentation, and maintain safety documentation and validation protocols.

Manage cross-functional hardware programs from prototype through product development, NPI, pilot builds, and early production. Establish plans, milestones, critical paths, entry and exit criteria, decision records, risk ownership, and escalation mechanisms. Coordinate engineering, manufacturing, quality, supply chain, suppliers, and operations while ensuring engineering changes remain traceable across PLM, ERP, BOMs, and production workflows. Communicate program health, technical risks, dependencies, and decisions to senior stakeholders, and use build lessons to improve execution.

Manage employee lifecycle operations including onboarding, offboarding, leave administration, benefits support, immigration coordination, co-op/intern hiring, event logistics, and HRIS data integrity while improving processes and supporting people initiatives.

Lead mechanical and mechatronics design for humanoid robots, taking concepts through prototyping, validation, and mid-to-high volume production. Optimize performance, manufacturability, reliability, and cost while mentoring junior engineers and driving advanced actuation, sensing, and precision-mechanism development.

Lead and execute the hardware vision and roadmap for integrated electromechanical systems. Own system architecture, prototype-to-NPI delivery, manufacturing readiness, supply chain, validation, reliability, and build a high-performing multidisciplinary hardware team while balancing performance, cost, schedule, and serviceability.

Work on designing, implementing, and improving state-of-the-art reinforcement and imitation learning algorithms for dexterous robotic manipulation. Develop RL/IL training and data-collection pipelines, integrate ML models onto robotics platforms, evaluate sim-to-real transfer, and collaborate across teams to deploy algorithms on physical humanoid robots.

Lead development of cutting-edge RL and imitation-learning algorithms for dexterous robotic manipulation, design training and large-batch simulation pipelines, enable sim-to-real transfer, integrate models onto physical robots, and drive research from experimentation to production while mentoring and collaborating across teams.

Design, implement, and deploy ML models and policies for robotic perception, manipulation, and planning. Collaborate with researchers and engineers to integrate, test, and optimize production-grade ML systems on real robotic platforms, mentor junior team members, and validate model robustness.

Lead cross-system architecture across ML, simulation, robot software, and hardware. Define a 2–3 year technical vision, drive cross-team architectural decisions, ensure scalable deployment and reproducible build-test-release pipelines, and translate systems strategy into product and operational roadmaps while operating as a technical authority.

Design, validate, and deploy industrial automation and robotic solutions by translating plant-floor tasks into engineering requirements, using simulation and virtual commissioning, integrating hardware (PLCs, vision, grippers, sensors), commissioning pilots, troubleshooting field failures, and documenting repeatable deployment methods while supporting customer-facing commissioning and travel.

Support technical product management for humanoid robots: coordinate and analyze robot testing, maintain requirements in management tools, document product requirements, improve development processes, and facilitate cross-team technical coordination. Gain exposure to full product lifecycle and help connect engineering implementation with customer and market needs. May assist with simple test fixture design.