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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)Required Experience and Knowledge: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 environmentsProven background in robotics organizations, including startups, scale-ups, or innovation-focused teamsDeep 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 pipelinesPractical 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 reliabilityDemonstrated 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 casesProven ability to communicate complex technical concepts effectively to executive leadership, customers, and cross-functional teamsTrack record of implementing iterative prototyping methodologies that enable rapid development cyclesLanguages: Fluent written and spoken EnglishAdditional InformationThis position is open to Pittsburgh, PA, Sunnyvale, CA and Renningen, Germany. If you are interested in the position in:
