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Robotics Software Engineer

Pivot Robotics · San Francisco

No salary listed. Estimated from 1377 salary-disclosed Engineering roles on this board: $200K–$300K (interquartile range; estimate, not the employer's figure).

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About the role

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.

  • Due to U.S. export control regulations (ITAR), this position is limited to U.S. Persons (U.S. citizens or lawful permanent residents)

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.

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