Principal AI/ML Engineer (Robotics)
Core
Lead the development of real-world expert and generalist robot policies for autonomous systems that perceive, decide, and act in dynamic environments.
Role type
Principal Robotics AI/ML Engineer (Policy & Planning)
Builds
Real-world expert and generalist robot policies, task planning systems, and foundational components for robotics solutions.
Domain
Robotics, Edge AI, Autonomous Systems
Deliverable
production ML models
Required skills
Robot policy design, task and motion planning, reinforcement learning, decision making under uncertainty, multi-sensor fusion, robot control and integration, real-world system deployment, Python, ROS, PyTorch, Tensorflow, robot kinematics, robot dynamics, MLOps, CI/CD, containerization, orchestration
Preferred skills
Industrial domain knowledge (factory automation, AMRs), open-source contributions, sensor design, signal processing, embedded AI hardware platforms
Technologies
ROS, PyTorch, Tensorflow, Gazebo, Isaac Sim, MuJoCo, OpenAI Gym, Unreal Engine, Docker, Kubernetes
Responsibilities
Lead design and deployment of expert and generalist policies for industrial tasksets; Drive design of task policies using hierarchical planning, reinforcement learning, or hybrid methods; Develop real-world and simulation-based datasets for benchmarking; Collaborate cross-functionally to bring scalable solutions from research to production; Guide team adoption of state-of-the-art robotics and self-supervised learning technologies; Contribute to AI platform architecture, CI/CD pipelines, and MLOps practices
Seniority
Principal, hands-on IC with technical leadership
