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Autonomous Driving Applications Research Intern

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Overview

Schedule
Full-time
Career level
Senior-level
Remote
On-site
Benefits
Career Development

Job Description

At Nissan, we’re not just building cars, we’re revolutionizing mobility. We’re a global leader with a heritage of innovation, and we’re searching for talented individuals like you to join us on this exciting journey. We believe that every individual possesses a unique set of skills and passions that can be harnessed to drive innovation and shape the future of the automotive industry. Our diverse range of program areas and career paths offer exciting opportunities for adventurers like you to embark on a thrilling professional journey.  Learn more about Nissan’s future here: https://www.youtube.com/watch?v=EDJ3GVA1QRwWe are currently looking for a Research Interns to join our team in Silicon Valley, California for the summer of 2026 (Jun, Jul, Aug) to work with the Finished Vehicles Logistics Autonomy team. We are hiring Research Interns who can apply machine learning technologies, perception and control to enable new opportunities with Autonomous Driving Vehicles. Specifically, we are engaged in developing software that enables autonomous driving of vehicles with minimal sensing and low power computing. You will be learning not only the day-to-day responsibilities of a researcher within our facility but will be tasked with completing a project that directly supports the goals of the Nissan and autonomously drives cars.

A Day In The Life:

  • Participate in the team’s daily activities (stand-up call, backlog reviews, spring 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.

NISSAN FOR EVERYONE

People are our most valuable assets, and diversity and inclusion are the key to maximizing the power of each individual member of our team.  When everyone belongs, the power of NISSAN is undeniable.  Our Corporate Diversity Initiative aims to improve business results by ensuring that our workplace and core businesses meet the unique 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 over 10 Business Synergy Teams (BSTs) across the U.S. and Canada that connect employees – with shared characteristics or interests – build allies, and foster a company culture where all employees feel supported and included.

Nissan also values inclusion in all areas of our business as we strive to mirror the diversity of our customer base and the communities where we do business. We are committed to procuring innovative goods and services, retailing our products and communicating from a diverse perspective which will help us continue to offer our customers competitively designed, market-driven products.

Join us as we carry our commitment to diversity and inclusion into the future.

Santa Clara California United States of America

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.

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FAQs About Autonomous Driving Applications Research Intern Jobs at Nissan

What is the work location for this position at Nissan?
This job at Nissan is located in Santa Clara, California, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Nissan?
Employer has not shared pay details for this role.
What employment applies to this position at Nissan?
Nissan lists this role as a Full-time position.
What experience level is required for this role at Nissan?
Nissan is looking for a candidate with "Senior-level" experience level.
What benefits are offered by Nissan for this role?
Nissan offers Career Development for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Nissan?
You can apply for this role at Nissan either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.