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Robot Operating System Internship Jobs in California

Civ Robotics

System Integration Engineer

San Francisco, CA · On-site

$196.80K/yr

System Integration Engineer Civ Robotics is on a mission to automate repetitive tasks within the $3 ... With over 100 robots deployed and operating across construction sites worldwide, we pride ourselves ...

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Robot Operating System Internship information

What are the key skills and qualifications needed to thrive as a Robot Operating System (ROS) Intern, and why are they important?

To thrive as a Robot Operating System (ROS) Intern, you need a solid background in robotics, computer science, or engineering, with knowledge of programming languages such as Python and C++. Familiarity with ROS frameworks, simulation tools like Gazebo, and version control systems (e.g., Git) is typically required. Strong problem-solving skills, teamwork, and adaptability help you navigate complex projects and collaborate effectively. These skills and qualities are crucial for efficiently developing, testing, and deploying robotic solutions in dynamic research or industry environments.

What types of projects do interns typically work on during a Robot Operating System (ROS) internship?

During a Robot Operating System (ROS) internship, interns often contribute to real-world robotics projects such as developing and testing algorithms for robot navigation, integrating new sensors, or enhancing perception modules. You may collaborate with engineers to debug ROS nodes, optimize code, or implement new features for autonomous robots. Expect to participate in team meetings, code reviews, and hands-on experiments with hardware or simulation environments. This experience provides valuable exposure to industry-standard tools and collaborative workflows used in robotics development.

What is a Robot Operating System (ROS) Internship?

A Robot Operating System (ROS) Internship is a temporary training position where students or recent graduates gain hands-on experience working with ROS, a flexible framework for writing robot software. Interns typically assist in developing, testing, and debugging robotics applications using ROS tools and libraries. This role helps participants build practical skills in robotics programming, sensor integration, and algorithm development, preparing them for careers in robotics and automation. Interns often work alongside engineers and researchers on real-world robotic systems in academic or industrial settings.

What is the difference between Robot Operating System Internship vs Robotics Software Engineer?

AspectRobot Operating System InternshipRobotics Software Engineer
Required CredentialsEnrolled in or recent graduate in Computer Science, Robotics, or related fieldsBachelor's or Master's in Robotics, Computer Science, or related fields; experience preferred
Work EnvironmentInternship programs, research labs, tech companiesFull-time employment in robotics or tech companies, R&D departments
Industry UsageTraining, skill development, project supportDesign, develop, and implement robotic software solutions

The Robot Operating System Internship focuses on gaining hands-on experience with ROS in a temporary, learning environment, while a Robotics Software Engineer is a full-time professional responsible for developing robotic software solutions. Internships are ideal for students or recent graduates, whereas engineers typically have more experience and responsibilities in ongoing projects.

What are popular job titles related to Robot Operating System Internship jobs in California? For Robot Operating System Internship jobs in California, the most frequently searched job titles are:
What job categories do people searching Robot Operating System Internship jobs in California look for? The top searched job categories for Robot Operating System Internship jobs in California are:
What cities in California are hiring for Robot Operating System Internship jobs? Cities in California with the most Robot Operating System Internship job openings:
Robot Operating System Internship jobs near you
Infographic showing various Robot Operating System Internship job openings in California as of May 2026, with employment types broken down into 50% Internship, and 50% Part Time. Highlights an 100% In-person job distribution.

Robotics Software Engineer

Pivot Robotics

San Francisco, CA • On-site

Full-time

Posted 24 days ago

Job description

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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