Roles and Responsibilities Design and develop robust, scalable, and maintainable software for industrial robotic systems. Implement motion planning, trajectory optimization, and real-time control algorithms. Develop vision-based automation by integrating sensors (cameras) with robotics systems. Optimize software for performance, reliability, and deployment on embedded and cloud-based platforms. Apply strong software engineering principles, including code modularity, testing, version control, and CI/CD. Conduct simulations and real-world experiments to validate robotic system performance. Collaborate across disciplines, working with hardware engineers, controls engineers, etc. Contribute to system architecture decisions, ensuring efficiency and scalability. Minimum Qualifications B.S. degree in Computer Science, Robotics, Electrical/Mechanical Engineering, or related fields. Strong programming skills in Python with a focus on software engineering best practices. Proficiency in robotics fundamentals, including kinematics, dynamics, control theory, and state estimation. Proficiency in version control (Git), software testing, and debugging techniques. Self-motivated problem solver who thrives in a fast-paced, collaborative environment. Optional Qualifications M.S. degree in Robotics, Computer Science, or related field. Experience with ROS (Robot Operating System) and/or other robotic middleware. Strong understanding of motion planning algorithms, trajectory generation, and real-time control. Familiarity with industrial robot arms, PLCs, or real-time control frameworks. Experience optimizing software for edge devices. Knowledge of distributed computing architectures.