AI Robotics Engineer

Description
The Robotics Engineer will support the development and integration of robotic manipulation systems used in vehicle manufacturing and advanced mobility programs. The role involves bringing up robotic platforms, integrating sensor suites, and implementing software and hardware solutions for robotic arms and automation systems. The engineer will drive integration along two tracks:(i) perception, planning, control policies and (ii) end-to-end vision-action models, validating performance and reliability across both. Responsibilities include system integration, hardware bring up, performance analysis, and collaborating with multidisciplinary teams to deploy robust AI-driven robotic solutions at scale.
Key Responsibilities:
• Bring up, integrate, and validate robotic manipulation systems, including robotic arms, sensor suites, and perception hardware for reliable robot operation.
• Integrate perception, planning, and control components, end to end Vision Action Models into robotics software stack
• Integrate and maintain ROS/ROS2 system architecture, including node graphs, topic communication, and service interfaces to enable reliable integration between perception, planning, control, and robotic hardware components.
• Integrate sensor suites such as cameras, force sensors, and other perception systems for robot operation.
• Conduct system-level testing, inverse kinematics validation, performance analysis, and cross-stack debugging to ensure reliability, safety, and overall robot performance.
• Prototype custom robotic components such as sensor mounts, brackets, end-effectors, fixtures etc., using 3D printing to support rapid development and hardware integration of robotic systems.
• Develop tools, documentation and processes for robot system bring-up, testing & deployment.
Skills:
• Robotics system integration and robotic manipulation systems.
• Experience with industrial and collaborative robots (e.g., UR, KUKA, ABB, FANUC)
• Experience with sensors such as RGB Cameras, Stereo Depth Cameras, Lidar, force/torque sensors etc.,
• Familiarity with AI/ML methods used in robotics such as vision-based perception, grasp planning, reinforcement learning, and model inference pipelines
• Familiarity with camera calibration tools (OpenCV, ROS calibration packages)
• Experience with ROS/ROS2, Python, Bash scripting and hardware-software interfacing
• System Integration: Hardware-software integration, robot middleware, communication interfaces
(TCP/IP, serial, CAN)
• Development Tools: Linux/Ubuntu environments, Git, Docker
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