Robotics Software Engineer
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-06-02
Listing for:
Pivot Robotics
Full Time
position Listed on 2026-06-02
Job specializations:
-
Engineering
Robotics, Software Engineer, Embedded Software Engineer, Systems Engineer
Job Description & How to Apply Below
- 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.
- 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)
- 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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