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Robotics Software Engineer Intern Jobs in Berkeley, CA

Robotics Software Engineer

San Francisco, CA ยท On-site

$255K - $325K/yr

About the Role We're seeking talented Robotics Software Engineers to expand our robotics data collection and evaluation program. This highly technical role involves designing, implementing, and ...

Software Engineering Intern As a Software Engineering Intern at Maxima, you will work directly with our engineering and product teams to help build the foundation of the world's first AI-native ...

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Robotics Software Engineer Intern information

See Berkeley, CA salary details

$16

$31

$47

How much do robotics software engineer intern jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for robotics software engineer intern in Berkeley, CA is $31.12, according to ZipRecruiter salary data. Most workers in this role earn between $25.29 and $35.34 per hour, depending on experience, location, and employer.

What is the difference between Robotics Software Engineer Intern vs Robotics Software Engineer?

AspectRobotics Software Engineer InternRobotics Software Engineer
Required CredentialsEnrolled in or recent graduate of a relevant degree (e.g., Computer Science, Robotics)Bachelor's or Master's in Robotics, Computer Science, or related field; experience preferred
Work EnvironmentInternship programs, often part-time or summer roles, in tech or robotics companiesFull-time professional roles in robotics development teams across industries
Employer & Industry UsageUsed by companies to train and evaluate potential future employees in roboticsUsed by companies to develop and maintain robotics systems and products

The main difference between a Robotics Software Engineer Intern and a Robotics Software Engineer is experience level and job responsibilities. Interns are typically students gaining hands-on experience, while engineers are full-time professionals responsible for designing and implementing robotics software.

What are the key skills and qualifications needed to thrive as a Robotics Software Engineer Intern, and why are they important?

To thrive as a Robotics Software Engineer Intern, you need a solid grounding in computer science, robotics fundamentals, and programming languages such as C++ or Python, often supported by coursework or related project experience. Familiarity with robotics middleware (like ROS), simulation tools (e.g., Gazebo), and version control systems (like Git) is typically expected. Problem-solving ability, eagerness to learn, and effective teamwork are vital soft skills in this role. These competencies enable interns to contribute meaningfully to development projects and quickly adapt to the fast-evolving field of robotics.

What does a Robotics Software Engineer Intern do?

A Robotics Software Engineer Intern assists in designing, developing, and testing software that controls robots and robotic systems. Their tasks often include writing code for robot behaviors, integrating sensors, troubleshooting issues, and collaborating with engineers to optimize robotic performance. Interns may work with simulation tools and real robots, contributing to projects in industries like manufacturing, healthcare, or autonomous vehicles. The internship provides hands-on experience and helps interns build foundational skills in programming, robotics, and teamwork.

What types of projects and technologies can a Robotics Software Engineer Intern expect to work with during their internship?

As a Robotics Software Engineer Intern, you can expect to work on hands-on projects involving real-time robot control, perception systems, or simulation environments. Interns often collaborate with multidisciplinary teams to develop and test software for autonomous navigation, sensor integration, or robot behavior algorithms. You'll likely use programming languages such as Python or C++, and may work with robotics middleware like ROS (Robot Operating System). This role provides valuable exposure to both software development and hardware integration, offering insights into the full robotics development lifecycle.
What cities near Berkeley, CA are hiring for Robotics Software Engineer Intern jobs? Cities near Berkeley, CA with the most Robotics Software Engineer Intern job openings:

Robotics Software Engineer

Pivot Robotics

San Francisco, CA โ€ข On-site

Full-time

Posted 13 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.