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Internship Autonomous Vehicle Jobs in California

AeroVect

Autonomy Intern

San Francisco, CA · On-site

... interns who are eager to bring autonomous driving systems to life from the ground up. Minimum ... Vehicle Control, Planning, and Decision Making Your job scope will involve selecting and working ...

AeroVect

Autonomy Intern

San Francisco, CA · On-site

... interns who are eager to bring autonomous driving systems to life from the ground up. Minimum ... Vehicle Control, Planning, and Decision Making Your job scope will involve selecting and working ...

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Internship Autonomous Vehicle information

What is an internship autonomous vehicle?

An Internship in Autonomous Vehicles involves working with self-driving technology, typically in areas like software development, machine learning, sensor integration, or vehicle testing. Interns may assist in developing perception algorithms, improving simulation environments, or analyzing real-world driving data. This role provides hands-on experience with cutting-edge technologies used in autonomous systems. Candidates usually need programming skills, familiarity with robotics concepts, and a passion for self-driving innovation.

What types of projects or tasks do interns typically work on during an autonomous vehicle internship?

As an intern in the autonomous vehicle field, you may assist with tasks such as developing and testing perception algorithms, annotating and analyzing sensor data, running simulations, or supporting software integration on vehicle platforms. You could also be involved in debugging code, evaluating system performance, or documenting research findings, all under the mentorship of experienced engineers. Interns often work as part of a multidisciplinary team, gaining hands-on experience in both software and hardware aspects of autonomous systems. This exposure provides valuable insight into real-world applications of autonomous technologies and helps build a strong foundation for future roles in this rapidly growing industry.

What are the key skills and qualifications needed to thrive in the internship autonomous vehicle position, and why are they important?

To thrive as an Internship Autonomous Vehicle candidate, you generally need a solid foundation in computer science, robotics, or electrical engineering, and familiarity with programming languages such as Python or C++. Experience with tools like ROS (Robot Operating System), simulation software, and version control systems (e.g., Git) is often expected. Strong problem-solving skills, willingness to learn, and effective teamwork and communication set candidates apart. These capabilities are crucial for contributing to complex, collaborative projects focused on developing safe and reliable autonomous vehicle technologies.

What are the most commonly searched types of Autonomous Vehicle jobs in California?

The most popular types of Autonomous Vehicle jobs in California are:

What are popular job titles related to Internship Autonomous Vehicle jobs in California?

For Internship Autonomous Vehicle jobs in California, the most frequently searched job titles are:

What job categories do people searching Internship Autonomous Vehicle jobs in California look for?

The top searched job categories for Internship Autonomous Vehicle jobs in California are:

What cities in California are hiring for Internship Autonomous Vehicle jobs?

Cities in California with the most Internship Autonomous Vehicle job openings:

Internship Autonomous Vehicle jobs near you
Infographic showing various Internship Autonomous Vehicle job openings in California as of August 2026, with employment types broken down into 67% Full Time, 32% Part Time, and 1% Contract. Highlights an 99% Physical, and 1% Remote job distribution.

NVIDIA 2027 Internships: Autonomous Vehicles and Robotics

Santa Clara, CA • On-site

Nvidia Corporation
Computer and Electronic Product Manufacturing • 10K+ employees

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Great coworkers

People enjoy working here

Good employer

Learn more about Nvidia Corporationexternal

Full-time

Posted 7 days ago

Job description

By submitting your resume, you acknowledge that your 2027 Autonomous Vehicles and Robotics internship application will be processed in accordance with NVIDIA's Applicant Privacy Policy and you agree to our Terms of Service. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.
NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Autonomous Vehicles and Robotics teams. We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.
Throughout the 12-week full-time internship, students will work on projects that have a measurable impact on our business. We're looking for students pursuing a B.S., M.S., or Ph.D. degree within a relevant or related field.
Potential Internships in this field include:
Autonomous Vehicles
  • Developing and training state-of-the-art Deep Neural Networks for path generation
  • Collecting training datasets and real-time inference run-times using simulators/gyms as well as performing in-vehicle tests
  • Course or internship experience related to the following areas could be required: Computer Vision, Mapping, Localization, SLAM, Image Processing, Segmentation

Robotics
  • Building the fundamental infrastructure and software platforms of our system, working at the very heart of the software system, which will power every robot and application built with Isaac
  • Course or internship experience related to the following areas could be required: Robotics, Autonomous Vehicles, Validation Frameworks for Deep Learning, Operating Systems and Data Structures (threads, processes, memory, synchronization), Physics Simulation, Simulators, Computer Graphics, Version Control, Computer Vision, Cloud Technologies

What we need to see:
  • Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree in Electrical Engineering, Computer Engineering, or a related field, for the full duration of the internship; anticipated graduation date (month and year) must be clearly indicated on a resume or CV to be considered.
  • Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: C, C++, C++17, CUDA, ROS, Python, OpenGL, Linux, Sensor Input Devices (LiDAR, cameras, radars), Training Frameworks (TensorFlow, Keras, PyTorch)

Click hereto learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors.
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.
You will also be eligible for Intern benefits.
Applications are accepted on an ongoing basis.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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Hours and flexibility

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