Applied Scientist, Navigation
Core
Architecting and delivering intelligent, safe, and scalable navigation systems for advanced robotic systems that operate alongside humans in dynamic environments.
Role type
Senior IC applied scientist (robot navigation)
Builds
Navigation systems for autonomous robots
Domain
Robotics, AI, Control Theory
Deliverable
production ML models
Required skills
learning-based planning and control, foundation models for embodied agents, model predictive control (MPC), trajectory planning, data-driven intelligence, optimization-based planning
Preferred skills
foundation models for robotics, world models, visual navigation, vision-language-action models, sim-to-real transfer, SLAM, localization, mapping, ROS/ROS2, safety-critical systems, formal verification, multi-agent coordination
Technologies
PyTorch, JAX, Isaac Sim, MuJoCo, Gazebo, ROS/ROS2
Responsibilities
Design and deploy perception algorithms (object detection, segmentation, tracking, depth estimation); lead research in computer vision, sensor fusion, and 3D perception; drive end-to-end ownership of ML models from data strategy to deployment; mentor junior scientists and engineers; publish research in top-tier venues
Seniority
Senior, hands-on IC
