About this role

Lead the design and deployment of expert and generalist policies
Drive the design of task policies using techniques such as hierarchical planning, reinforcement learning, or hybrid methods
Develop real-world and simulation-based datasets for benchmarking and validation; guide sensor selection and system integration
Collaborate cross-functionally with embedded, hardware, and systems engineers
Stay current with the state of the art in robotics, Edge AI, and self-supervised learning
Contribute to the broader AI platform architecture, CI/CD pipelines, and MLOps practices

10+ years of experience in robotics, computer vision, control theory or AI
3+ years in a technical leadership role
M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or related field
Demonstrated expertise in task and motion planning, policy learning methods, robot foundation models, decision making under uncertainty, multi-sensor fusion, robot control and integration
Strong programming skills in Python
Experience in frameworks like ROS, PyTorch or Tensorflow
Deep knowledge in robot locomotion, kinematics, and dynamics
Familiarity with real-time systems and simulators like Gazebo, Isaac Sim, MuJoCo, OpenAI Gym or Unreal Engine
Familiar with MLOps and software best practices
Excellent communicator and collaborator.

Principal AI/ML Engineer – Robotics

Key skills