AI Robotics Research Intern - Summer 2027 - Santa Clara, CA

Nissan • Santa Clara, CA

10d • Onsite

About The Position

Nissan is seeking an AI Robotics Research Intern to join its Manufacturing Robotics and Materials Informatics teams in Santa Clara, California. These teams develop AI-enabled robotic systems for laboratory automation and next-generation materials research. The intern will work on perception, controls, machine learning, and robotics technologies to address real-world laboratory automation challenges, helping design, prototype, program, and validate intelligent systems that operate alongside researchers. The role involves collaboration with robotics engineers, AI researchers, data scientists, and materials scientists.

Requirements

• Currently enrolled in a Master's degree program in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Aeronautics, Mathematics, or a related field.
• Experience with robotics systems, controls, perception, automation, or IoT technologies.
• Strong programming skills in Python, C/C++, and Robot Operating System (ROS).
• Experience with AI development tools and machine learning techniques.
• Strong problem-solving, analytical, and system integration skills.
• Ability to work collaboratively within multidisciplinary engineering and research teams.
• Strong written and verbal communication skills.
• GPA of 3.0 or above; an official or unofficial transcript is required during the application process for verification.
• Ability to perform work onsite in Santa Clara, California.
• Must be legally authorized to work in the United States and provide proof of employment eligibility at hire.

Nice To Haves

• Experience with robotic manipulation, mobile robotics, humanoid robotics, or autonomous systems.
• Familiarity with computer vision, sensor fusion, reinforcement learning, or deep learning techniques.
• Experience with simulation platforms such as Gazebo, Isaac Sim, ROS2, or similar robotics frameworks.
• Experience integrating hardware, sensors, actuators, and embedded systems.
• Interest in laboratory automation, advanced manufacturing, or materials research applications.

Responsibilities

• Design, prototype, and test intelligent robotic systems for laboratory automation and research activities.
• Develop perception, motion control, and machine learning algorithms for robotic and humanoid systems.
• Implement software solutions using Python, C/C++, and ROS-based frameworks.
• Support simulation development, hardware integration, system testing, and validation.
• Contribute to laboratory automation workflows that accelerate materials research and experimentation.
• Collaborate with cross-functional teams to improve robotic system performance, reliability, and usability.

Benefits

• Business Synergy Teams (ERGs) and opportunities to connect with colleagues from diverse backgrounds.
• Professional training and development through innovation offerings, seminars, learning platforms, and leadership development programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern