Robotics Software Developer
Optimal CAE - Warren, MI
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Job Summary: Optimal is seeking a Robotics Software Developer to create automated grasping solutions for our client Bodyshop and General Assembly operations. The role involves developing Python-based grasp planning algorithms, integrating them with collaborative robot systems, and supporting hardware benchmarking and testing. Key Responsibilities: Develop and integrate grasp planning software for 2-finger, magnetic, and vacuum grippers. Benchmark gripper hardware and summarize findings. Test automated grasping solutions on parts and prepare technical documentation. Collaborate with client teams on system design and development. Qualifications: Masters Degree in Robotics, Mechanical Engineering, Mechatronics, or Computer Science. Experience with robotic software, grasp planning, and collaborative robots. Proficiency in Python and strong problem-solving skills. Work Conditions: First-shift (M-F) R&D role focused on engineering, software development, and testing.
Created: 2026-03-10