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Autonomous Driving Engineer Intern Jobs (NOW HIRING)

XPENG

AI Intern - VLA Deployment

Santa Clara, CA

We are looking for an entry-level engineer or intern to support the optimization and deployment of ... Experience with CUDA or GPU programming. * Exposure to autonomous driving, robotics, or real-time ...

XPENG

AI Intern - VLA Deployment

Santa Clara, CA · On-site

We are looking for an entry-level engineer or intern to support the optimization and deployment of ... Experience with CUDA or GPU programming. * Exposure to autonomous driving, robotics, or real-time ...

Jefferson Parish

ENGINEER INTERN(4050)

Gretna, LA · On-site

$48K - $58K/yr

Position requires driving of a personal vehicle, thus possession of a valid driver's license ... If Engineer Intern registration is in another state, must obtain Louisiana Registration within six ...

XPENG

AI Agent Data Pipeline Intern

Santa Clara, CA · On-site

... of Autonomous Driving AI models. We work closely with Machine Learning Engineers to improve ... We're looking for an intern to help build the data foundation for this agent, with a focus on ...

XPENG

AI Agent Data Pipeline Intern

Santa Clara, CA · On-site

... of Autonomous Driving AI models. We work closely with Machine Learning Engineers to improve ... We're looking for an intern to help build the data foundation for this agent, with a focus on ...

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Autonomous Driving Engineer Intern information

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How much do autonomous driving engineer intern jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for autonomous driving engineer intern in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is the difference between Autonomous Driving Engineer Intern vs Autonomous Vehicle Software Engineer Intern?

AspectAutonomous Driving Engineer InternAutonomous Vehicle Software Engineer Intern
Required CredentialsRelevant coursework, basic programming skills, some knowledge of autonomous systemsSimilar; often includes programming, robotics, or AI coursework
Work EnvironmentResearch labs, development teams, testing facilitiesSoftware development teams, testing environments, simulation platforms
Industry UsageUsed interchangeably in autonomous vehicle companies, focusing on system developmentOften used in software-focused roles within autonomous vehicle projects

Both roles involve working on autonomous vehicle technology, with similar educational backgrounds and work environments. The main difference lies in the focus: the Autonomous Driving Engineer Intern emphasizes system integration and hardware-software interaction, while the Autonomous Vehicle Software Engineer Intern concentrates more on software development and coding tasks within autonomous systems.

What types of projects and technologies can an Autonomous Driving Engineer Intern expect to work on during their internship?

As an Autonomous Driving Engineer Intern, you will typically contribute to projects involving sensor data processing, perception algorithms, or vehicle control systems. Interns often work with real-world datasets, simulation environments, and may help develop or test components such as object detection, sensor fusion, or path planning modules. You’ll likely collaborate with multidisciplinary teams that include software engineers, data scientists, and hardware specialists, giving you exposure to the end-to-end development of autonomous vehicle technologies. This hands-on experience is invaluable for building technical skills and understanding the complexities of autonomous systems.

What does an Autonomous Driving Engineer Intern do?

An Autonomous Driving Engineer Intern assists in developing and testing the software and hardware that enable vehicles to drive themselves. This role often involves working with sensors, machine learning algorithms, and simulation environments to improve vehicle perception, decision-making, and control systems. Interns may also help collect and analyze data from test vehicles, write code for automation, and collaborate with engineers on safety and performance enhancements. It's a hands-on position that provides exposure to cutting-edge automotive and AI technologies.

What are the key skills and qualifications needed to thrive as an Autonomous Driving Engineer Intern, and why are they important?

To thrive as an Autonomous Driving Engineer Intern, you need a solid background in computer science, robotics, or electrical engineering, often supported by coursework or projects in AI, machine learning, or autonomous systems. Familiarity with programming languages like Python or C++, simulation tools (such as ROS or CARLA), and version control systems is typically required. Strong problem-solving abilities, teamwork, and effective communication are standout soft skills in this role. These skills are vital for developing, testing, and refining complex autonomous vehicle technologies in a collaborative, fast-evolving environment.
What are the most commonly searched types of Autonomous Driving Engineer jobs? The most popular types of Autonomous Driving Engineer jobs are:
Autonomous Driving Machine Learning Engineer

Autonomous Driving Machine Learning Engineer

Mercedes-Benz Research & Development North America, Inc.

San Jose, CA

$159K - $179K/yr

Full-time

Posted 5 days ago

Job description

Mercedes-Benz Research & Development North America, Inc. has the following position available in San Jose, CA: Autonomous Driving Machine Learning Engineer (MER-AR): Develop machine learning algorithms, including deep neural networks that perform perception tasks. Annual Salary Range: $159,441.75 - $179,441.75.

Submit resume to: mbrdnacandidates@mercedes-benz.com. Must reference job title and job code.

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