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

Location(s): Santa Clara, CA Job Schedule: Full-time, 12-week program Degree Level: Master's Level Students Preferred Degree: Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Aeronautics, Mathematics, or related field Shape the Future of Mobility at Nissan: Launch Your Career, Drive Innovation We are currently looking for an AI Robotics Research Intern to join our team in Santa Clara, CA. The Manufacturing Robotics and Materials Informatics teams are developing AI-enabled robotic systems to support laboratory automation and next-generation materials research. As an AI Robotics Research Intern, you will work on perception, controls, machine learning, and robotics technologies while contributing to real-world laboratory automation challenges. This internship offers a unique opportunity to help design, prototype, program, and validate intelligent robotic systems that can operate alongside researchers in laboratory environments. You will collaborate with multidisciplinary teams of robotics engineers, AI researchers, data scientists, and materials scientists to advance the future of automation and intelligent systems. A Day in the Life: Design, prototype, and test intelligent robotic systems that support 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 activities. Contribute to laboratory automation workflows that accelerate materials research and experimentation. Collaborate with cross-functional teams to improve robotic system performance, reliability, and usability. Who We're Looking For : Required: Must be 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 (Candidates will be required to provide an official or unofficial transcript during the application process for verification.) Ability to perform work onsite in Santa Clara, CA. Preferred : 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. What You'll Look Forward to at Nissan : Connection and Collaboration: We offer Business Synergy Teams (ERGs) and opportunities for employees to strengthen their relationships and connect with colleagues from diverse backgrounds, fostering a culture of belonging. Professional Training and Development: Expand your knowledge and skills through Nissan's rich innovation offerings, seminars, learning platforms, and leadership development programs. Nissan is committed to a drug-free workplace. All employment is contingent upon the successful completion of drug and background screenings in accordance with Nissan policies and in compliance with federal, state, and local laws, including the California Fair Chance Act and the Los Angeles County Fair Chance Ordinance. Nissan will consider qualified candidates with arrest or conviction records for employment in a manner consistent with these laws. It is Nissan's policy to provide Equal Employment Opportunity (EEO) to all persons regardless of race, gender, military status, disability, or any other status protected by law. Candidates for this position must be legally authorized to work in the United States and will be required to provide proof of employment eligibility at the time of hire; Nissan uses E-Verify to validate employment eligibility.

NISSAN FOR EVERYONE

People are our most valuable assets, and Nissan seeks to maximize the power of each individual member of our team. When everyone belongs, the power of NISSAN is undeniable. Nissan aims to improve business results through a workplace and business that meets the needs of our employees and customer base. Nissan is committed to creating a culture where everyone belongs and employees, customers, and partners feel respected, valued, and heard. We have Business Synergy Teams (BSTs) across the Americas that are open to all employees and seek to connect #J-18808-Ljbffr Nissan