Autonomous Driving Applications Research Intern

Reposted One Month Ago
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Santa Clara, CA, USA
In-Office
Internship
Automotive • Manufacturing
The Role
The intern will participate in daily team activities, work on a specific project in simulation and test code on vehicles. Areas include machine learning, parking solutions, and multi-sensory localization.
Summary Generated by Built In

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

Skills Required

  • Currently pursuing a Master's or PhD in engineering or a quantitative discipline
  • Familiarity with robotics, controls, perception, and IoT techniques
  • Familiarity with programming languages (Python, C/C++) and AI coding tools
  • GPA of 3.0 or above
  • Ability to work on site

Nissan Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nissan and has not been reviewed or approved by Nissan.

  • Affordable Benefits — Benefits are portrayed as broadly competitive, with healthcare, flexible work options, and vehicle-related programs contributing meaningful value. Feedback suggests the package can feel cost-effective for employees, especially where company-car schemes and robust health coverage are available.
  • Parental & Family Support — Company materials emphasize on-site childcare, parental leave, and caregiver-friendly policies. Feedback suggests these offerings are seen as supportive of work-life needs in several regions.
  • Flexible Benefits — Flexible work arrangements such as telecommuting, flex time, and remote-work programs are highlighted. Feedback suggests flexibility is a notable strength, though availability varies by location and role.

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The Company
HQ: Resende

What We Do

Nissan is a global automotive manufacturer that designs, produces, and sells a wide range of vehicles, including cars, trucks, and SUVs, and is a key member of the Renault-Nissan-Mitsubishi Alliance.

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