Robotics · Humanoid robots
Currently tracking 10 active AI roles, down 15% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $75k–$402k (avg $227k).
| Title | Stage | AI score |
|---|---|---|
| Director of AI Director of AI to lead strategy and execution of AI/ML initiatives for humanoid robots, focusing on developing AI foundations, ensuring ethical implementation, and delivering robust, real-time AI capabilities for commercial deployment. Responsibilities include defining AI strategy, overseeing development of on-robot and cloud-based AI systems, driving research into novel robotics challenges, and managing AI teams and budgets. | ShipData | 9 |
| Senior Manager, AI Innovation Senior Manager of AI Innovation at Agility Robotics, a humanoid robotics company. This role bridges AI/ML research and functional robotic applications, driving research to derisk the product roadmap by solving complex robotics challenges (perceptive real-time planning, whole body-control, learning from demonstration) on a 1-2 year horizon. Responsibilities include overseeing innovation projects from concept to MVP on humanoid platforms, accelerating data flywheel strategy (teleoperation, synthetic data, fleet learning), partnering with hardware/software teams, and managing a team of researchers and engineers. Requires advanced degree, 8+ years AI/ML experience (3+ in management), demonstrated experience in real-time AI for robotics, expertise in computer vision, reinforcement learning, and LLMs for robotics, and experience deploying models on resource-constrained edge devices. | ShipData | 8 |
| Staff Systems Validation Engineer Agility Robotics is seeking a Staff Systems Validation Engineer to design and execute system-level verification and validation for their humanoid robot platform. This role involves developing and running test plans, troubleshooting, and reporting on robot performance in real-world customer environments. The engineer will work with cross-functional teams to ensure the robot meets all requirements for product acceptance, utilizing simulation environments and AI-assisted analysis for large datasets. Experience with safety-critical systems and robotics fundamentals is required. | Ship | 5 |