Completed Master's degree or PhD in Robotics, Mechatronics, Computer Science, Electrical Engineering, or equivalent professional experience (minimum 8+ years in robotics/autonomous systems development)
Minimum 8+ years of professional experience in robotics and autonomous systems, with demonstrated success in building or deploying advanced physical AI/robotic systems in production environments
Proven background in robotics organizations, including startups, scale-ups, or innovation-focused teams
Deep technical expertise in core robotics technology stacks (e.g., ROS/ROS 2, modern C++, Python, Linux/RTOS)
Hands-on experience with GPU-accelerated simulation tools (e.g., NVIDIA Isaac Sim/Lab, MuJoCo) and teleoperation/data collection pipelines
Practical experience with modern robotic learning methodologies (Imitation Learning, Diffusion Policy, ACT, Reinforcement Learning, or Foundation Models including VLMs/VLAs)
Demonstrated knowledge of perception and state estimation techniques (sensor fusion, SLAM, 3D vision, LiDAR/camera calibration)
Expertise in manipulation and grasping systems (end-effectors, tactile sensing, teleoperation)
Professional experience with Hardware-in-the-loop (HIL) testing, safety protocols, and design for reliability
Demonstrated ability to diagnose and resolve complex technical challenges across full-stack systems, from electrical and CAN bus issues on physical robots to software race conditions and edge cases
Track record of implementing iterative prototyping methodologies that enable rapid development cycles
Fluent written and spoken English
Employment is contingent upon the successful completion of a drug screen and background check.
Candidates who have been offered the position must pass both screenings before their start date.
