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Internship Google Robotics Engineer Jobs in California

... for a Robot Learning Engineer to join a small, ambitious team working at the frontier of ... thesis, internships, or open-source contributions in robotics or AI * Familiarity with 3D ...

... for a Robot Learning Engineer to join a small, ambitious team working at the frontier of ... thesis, internships, or open-source contributions in robotics or AI * Familiarity with 3D ...

... internship) software development experience. * Strong programming skills in at least one modern ... Proven robotics engineering experience with evidence of system-level ownership (e.g., integration ...

... internship) software development experience. * Strong programming skills in at least one modern ... Proven robotics engineering experience with evidence of system-level ownership (e.g., integration ...

Robot SW Test Engineer

San Francisco, CA ยท On-site

$150K - $195K/yr

... robotics and AI legends including Fei-Fei Li (Chief Scientist of AI at Google and Director of ... Strong programming in Python and Rust (or C++); experience building automated test frameworks and ...

... robotics and AI legends including Fei-Fei Li (Chief Scientist of AI at Google and Director of ... Strong programming in Python and Rust (or C++); experience building automated test frameworks and ...

Robot SW Test Engineer

San Francisco, CA ยท On-site

$150K - $195K/yr

... robotics and AI legends including Fei-Fei Li (Chief Scientist of AI at Google and Director of ... Strong programming in Python and Rust (or C++); experience building automated test frameworks and ...

Showing results 21-40

Internship Google Robotics Engineer information

What does an Internship Google Robotics Engineer do?

An Internship Google Robotics Engineer works as part of Google's robotics teams, assisting in the research, design, and development of robotic systems and technologies. Interns may collaborate on projects involving hardware, software, machine learning, or artificial intelligence to help solve real-world problems. Their responsibilities often include programming, testing prototypes, data analysis, and working closely with experienced engineers. This role provides hands-on experience and mentorship, giving interns a chance to contribute to innovative projects while building valuable technical skills.

Does Google hire robotics engineers?

Google hires robotics engineers for roles involving robotics research, development, and integration within its various projects, including those related to artificial intelligence and automation. Candidates typically need strong skills in programming, robotics systems, and related tools like ROS or TensorFlow. The company offers opportunities for engineers to work on innovative robotics solutions across different teams.

What types of projects can I expect to work on as an Internship Google Robotics Engineer, and how much autonomy will I have?

As an Internship Google Robotics Engineer, you will typically be involved in hands-on projects that contribute to ongoing research or the development of new robotic systems. Projects may include tasks such as improving perception algorithms, testing hardware prototypes, or developing software for robot navigation and manipulation. Interns generally work closely with experienced engineers and researchers, receiving mentorship while also being encouraged to take ownership of specific project components. This collaborative environment allows you to develop technical skills and gain insight into how cross-functional teams operate within Google's robotics division.

What are the key skills and qualifications needed to thrive as an Internship Google Robotics Engineer, and why are they important?

To excel as an Internship Google Robotics Engineer, a solid understanding of robotics fundamentals, programming (especially in Python or C++), and coursework in computer science, engineering, or a related field is typically required. Familiarity with ROS (Robot Operating System), simulation tools like Gazebo, and version control systems such as Git are commonly expected; relevant project experience or academic research is a plus. Problem-solving ability, teamwork, and effective communication are vital soft skills that distinguish top candidates in collaborative and fast-paced environments. These competencies are crucial for contributing to innovative projects, adapting to complex challenges, and ensuring effective collaboration within multidisciplinary teams.
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Infographic showing various Internship Google Robotics Engineer job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Robot Learning Engineer

Clera

San Francisco, CA โ€ข On-site

Full-time

Posted 6 days ago


Job description

About the Role

An early-stage industrial robotics startup in Munich is looking for a Robot Learning Engineer to join a small, ambitious team working at the frontier of intelligent automation. This is an entry-level / new-grad research role where you'll apply state-of-the-art machine learning — perception, reinforcement learning, imitation learning, and sim-to-real transfer — directly to a real industrial robotic work cell handling some of the hardest manual tasks in manufacturing: surface finishing, welding, and coating. You'll have the rare opportunity to see your ML work run on physical factory hardware from day one.

What You'll Do
  • Research and evaluate ML models for robot perception and task understanding

  • Apply computer vision and deep learning to multi-modal sensor data (cameras, force/torque sensors, depth)

  • Experiment with reinforcement learning and imitation learning for robot control

  • Integrate AI models into the ROS 2 robotics stack

  • Run rigorous experiments and iterate rapidly on results

  • Bridge the gap between research prototypes and real-world factory deployment

What We're Looking For

Required:

  • Bachelor's or Master's degree in Robotics, Computer Science, AI, or a closely related field

  • 0–3 years of hands-on experience in robotics, computer vision, or AI research

  • Proficiency in Python and at least one deep learning framework (PyTorch or TensorFlow)

  • Experience with ROS 2

  • Experience with computer vision and sensor data processing for robotics applications

  • Practical knowledge of reinforcement learning and/or imitation learning for robot control

  • Ability to collaborate across research and real-world deployment in a robotics context

  • Legal right to work in Germany — visa sponsorship is not available

  • Based in Munich or willing to relocate (role is fully on-site)

Nice to Have:

  • Experience with sim-to-real tools such as Isaac Sim, MuJoCo, or PyBullet

  • Strong fundamentals demonstrated through research publications, a thesis, internships, or open-source contributions in robotics or AI

  • Familiarity with 3D perception, point clouds, or depth estimation

Compensation & Benefits
  • Equity participation offered

  • Cash compensation to be discussed directly — competitive for an early-stage startup

Location

On-site in Munich, Germany. Relocation expected. No remote or hybrid arrangements available for this role.