Physical AI Manufacturing Intern - Summer 2027 - Smyrna, TN at Nissan

  • Company: Nissan
  • Location: Smyrna, Tennessee - United States of America
  • Job type: internship
  • Workplace: onsite
  • Posted: 2026-10-27

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Job description

Location(s): Smyrna, TN Job Schedule: Full-time, 12-week program Degree Level: Junior or Senior Preferred Degree: Robotics Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, Aeronautical Engineering, Mathematics, Software Engineering, or related field Sponsorship: Not Available Shape the Future of Mobility at Nissan: Launch Your Career, Drive Innovation We are currently looking for a Manufacturing Strategy Innovation Intern to join our team in Smyrna, TN. The Manufacturing Strategy Innovation team is responsible for identifying, evaluating, and implementing innovative AI technologies across Nissan North America manufacturing plants to support our short-, mid-, and long-term competitiveness and quality goals. This internship offers a unique opportunity to collaborate on Physical AI projects focused on robotics, vision inspection, and simulation. You will gain exposure to the day-to-day responsibilities of a manufacturing engineer while leading a project that directly supports Nissan's goals in the domain of artificial intelligence-enabled devices and advanced manufacturing technologies. A Day in the Life: Gain hands-on experience with manufacturing automation systems and advanced manufacturing technologies. Partner with Engineering, Maintenance, Manufacturing, and Quality teams to identify opportunities for process improvements and operational efficiencies through innovative technologies. Develop project management skills by supporting all phases of a project, including proposal development, technical design, simulation and modeling, hardware prototyping, coding, and testing. Collaborate on Physical AI projects involving robotics, vision inspection systems, and digital simulation technologies. Track trial results and create detailed reports summarizing findings, recommendations, and outcomes. Participate in internship program activities, networking events, and professional development opportunities. Who We’re Looking For: Required: Must be currently enrolled in a full-time undergraduate or master's degree program in Robotics Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, Aeronautical Engineering, Mathematics, Software Engineering, or a related field. Students entering their Junior or Senior year at the start of the upcoming academic term. Experience with robotics, controls, perception systems, and IoT technologies. Working knowledge of programming languages such as Python, C/C++, and ROS. Basic knowledge of AI development and coding tools. Strong communication, teamwork, and problem-solving skills. Ability to manage multiple priorities and work independently in a fast-paced manufacturing environment. 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 Smyrna, TN. Preferred: Experience with machine vision, computer vision, or AI-enabled inspection systems. Exposure to industrial robotics, automation equipment, or manufacturing technologies. Experience with simulation, modeling, or digital twin applications. Knowledge of machine learning, artificial intelligence, or data analytics concepts. Interest in advanced manufacturing, smart factories, and Industry 4.0 technologies. What You’ll Look Forward to at Nissan: Connection and Collaboration: We offer Business Synergy Teams (ERGs) and opportunities for our employees to strengthen their relationships and meet people from similar and diverse backgrounds to foster a culture of belonging. Professional Training and Development: Expand your knowledge and skills through Nissan’s rich innovation offerings, seminars, learning platforms, and leadership trainings. 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 Cal

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