Autonomous Driving Applications Research Intern

Nissan USA; Santa Clara (CA); On-site; Full time

Job description

A Day In The Life

• Participate in the team’s daily activities (stand‑up call, backlog reviews, sprint planning)
• Work on your specific project (proposal, technical design, coding and testing in simulation)
• Participate in testing code (including yours) on actual vehicles on our test track.
• Participate in various overall campus activities.

Potential Areas of Work

During your internship, you will be working with the team in our simulated and real environment to develop the required software for one of the following projects:

• Machine Learning Pipeline.
• Radar and vision‑based parking in a tight environment.
• Multi‑sensory localization.

Graduate Areas Of Study Under Consideration, But Not Limited To:

• Engineering disciplines (Robotics, Comp Sci, Electrical, Mechanical, Aeronautical, etc.)
• Mathematics.

Who We’re Looking For

• Currently be pursuing a Master’s, or PhD degree in Core Engineering discipline.
• Enrolled in a full‑time Master’s or Ph.D. degree program in Robotics, Mathematics, Computer Science, or other quantitative discipline.
• Familiarity with robotics, controls, perception, and IOT techniques.
• Familiarity with programming languages (Python, C/C++, etc.) and AI coding tools.
• 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 work on site.

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.

Santa Clara, California, United States of America