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.

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