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Internship Autonomous Vehicle Jobs (NOW HIRING)

Pronto.ai, Inc.

Robotics Controls Engineer

San Francisco, CA · On-site

$98K - $127K/yr

About Pronto While most Autonomous Vehicle (AV) technology companies are stuck in R&D mode, Pronto ... internship) software development experience * Strong foundation in classical control theory (PID ...

Waabi

Research Internship/Co-op

San Francisco, CA

$45 - $60/hr

... Autonomous Vehicle (AV). This includes topics such as perception, prediction, motion planning ... Application Instructions: - To be considered for an internship/co-op, please add your most up to ...

Waabi

Research Internship/Co-op

San Francisco, CA · On-site +1

$45 - $60/hr

... Autonomous Vehicle (AV). This includes topics such as perception, prediction, motion planning ... Application Instructions: - To be considered for an internship/co-op, please add your most up to ...

PlusAI

Simulation Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

Interface the LLM-generated scenarios directly with the autonomous vehicle simulation environment ... hour Our internship hourly rates are a standard pay determined based on the position and your ...

Inversion

Autonomy Engineer I, Arc Vehicle

Los Angeles, CA · On-site

$71K - $124K/yr

Typically 1+ years of internship, academic research, or professional experience developing software for autonomous systems, robotics, or aerospace vehicles. * Strong foundational programming skills ...

PlusAI

Simulation Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

Interface the LLM-generated scenarios directly with the autonomous vehicle simulation environment ... hour Our internship hourly rates are a standard pay determined based on the position and your ...

WeRide.ai

2026 Summer Intern - PhD

San Jose, CA · On-site

$40 - $60/hr

In our internship program, you will: Join one of our teams, such as Perception, Prediction ... Passion for innovation in the autonomous vehicle industry. $40 - $60 an hour What Happens Next: We ...

Pronto

Robotics Controls Engineer

San Francisco, CA

$182K - $230K/yr

Who we are Pronto AI is a global leader in commercializing autonomous vehicle (AV) technology ... internship) software development experience * Strong foundation in classical control theory (PID ...

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Internship Autonomous Vehicle information

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How much do internship autonomous vehicle jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for internship autonomous vehicle in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

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 is an Internship Autonomous Vehicle job?

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.

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Internship Autonomous Vehicle jobs near you
Infographic showing various Internship Autonomous Vehicle job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
Senior Software Engineer - Autonomous Driving Simulation

Senior Software Engineer - Autonomous Driving Simulation

Nvidia

Santa Clara, CA

$143K - $189K/yr

Full-time

Posted 8 days ago

Job description

NVIDIA is seeking a highly motivated Software Engineer to join our Autonomous Vehicle (AV) Simulation team. In this role, you will help build and scale realistic virtual environments that accelerate the training, testing, and validation of NVIDIA's autonomous driving software stack.

Our mission is to enable large-scale simulation and debugging of AV algorithms across millions of scenarios per day, spanning diverse traffic patterns, road conditions, weather environments, and edge cases. Achieving this requires deep performance optimization and systems-level analysis across the entire software stack - from AV algorithms and AI models to system software, infrastructure, and production-scale simulation workflows.

What you'll be doing:

  • Develop scalable simulation platforms and workflows for autonomous driving validation and training.

  • Work on Real2Sim and Sim2Real domain adaptation technologies to transform real-world driving incidents into diverse simulation scenarios - and bridge the gap between simulated and real-world behavior.

  • Contribute across a multidisciplinary stack involving: System software and distributed infrastructure, neural graphics & rendering, generative AI & synthetic data generation, computer vision & deep learning, and real-to-synthetic domain adaptation.

  • Optimize large-scale simulation workflows for performance, scalability, reliability, and production deployment.

  • Collaborate closely with researchers, infrastructure engineers, and product teams across NVIDIA.

  • Drive technology transfer into production products and contribute to open-source initiatives where applicable.

What we need to see:

  • BS, MS, or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field (or equivalent experience).

  • 5+ years of relevant autonomous vehicles industry experience.

  • Strong programming skills in Python, C/C++, PyTorch, and Linux/bash scripting.

  • Experience with modern software engineering and infrastructure tools such as Docker, Bazel, Jenkins, CI/CD pipelines, and distributed systems tooling.

  • Strong background in computer vision, deep learning, simulation systems, or related domains.

  • Excellent analytical and mathematical problem-solving skills.

  • Ability to independently drive complex projects from concept to production.

  • Strong communication, collaboration, and teamwork skills.

  • Experience in machine learning, large-scale systems, analytics, statistics, or applied mathematics.

Ways to stand out from the crowd:

  • First-author publications at top-tier conferences such as NeurIPS, CVPR, ICCV, ECCV, or ICML.

  • Experience in autonomous driving, robotics simulation, neural rendering, synthetic data generation, or generative AI.

  • Proven research or engineering excellence through internships, open-source contributions, code competitions, or impactful production systems.

  • Experience optimizing high-performance or large-scale distributed workloads.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 15, 2026.

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.
Nvidia logo

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

Year founded

1993

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