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Virtual Internship Autonomous Vehicle Jobs (NOW HIRING)

PlusAI

Field Service Engineer

Dallas, TX

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built ... The role supports autonomous vehicle testing and deployment with a comprehensive focus on remote ...

PlusAI

Field Service Engineer

Dallas, TX

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built ... The role supports autonomous vehicle testing and deployment with a comprehensive focus on remote ...

PlusAI

Field Service Engineer

Dallas, TX · On-site

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built ... The role supports autonomous vehicle testing and deployment with a comprehensive focus on remote ...

Avride

Machine Learning Engineer Internship

Austin, TX · On-site

About Avride Avride is a US-based developer of autonomous vehicles and delivery robots. We develop ... About the Internship At Avride, ML Engineer Interns operate at the intersection of cutting-edge ...

Zoox

Vehicle Dynamics Simulation Engineer

Foster City, CA · On-site

$141K - $177K/yr

Conduct virtual ride and handling assessments to identify critical trade-offs and lead testing ... About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the ...

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 ...

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How much do virtual internship autonomous vehicle jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for virtual internship autonomous vehicle in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

What is the difference between Virtual Internship Autonomous Vehicle vs Virtual Internship Robotics Engineer?

AspectVirtual Internship Autonomous VehicleVirtual Internship Robotics Engineer
Required CredentialsRelevant coursework, basic programming skillsEngineering background, programming, robotics knowledge
Work EnvironmentRemote, simulation-based projectsRemote or lab-based, hardware and software integration
Industry UsageAutomotive, transportation, mobility servicesManufacturing, automation, research labs

Both internships focus on automation and programming skills but differ in industry focus and hardware involvement. The Autonomous Vehicle internship emphasizes vehicle simulation and transportation tech, while Robotics Engineering covers broader automation and hardware integration. Candidates should choose based on their industry interest and skill set.

What cities are hiring for Virtual Internship Autonomous Vehicle jobs? Cities with the most Virtual Internship Autonomous Vehicle job openings:
What states have the most Virtual Internship Autonomous Vehicle jobs? States with the most job openings for Virtual Internship Autonomous Vehicle jobs include:
What job categories do people searching Virtual Internship Autonomous Vehicle jobs look for? The top searched job categories for Virtual Internship Autonomous Vehicle jobs are:
Virtual Internship Autonomous Vehicle jobs near you
Infographic showing various Virtual Internship Autonomous Vehicle job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 94% Full Time, and 5% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.
Internship - 2024 Summer Intern, PhD Research Scientist, Generative AI

Internship - 2024 Summer Intern, PhD Research Scientist, Generative AI

Waymo

Mountain View, CA

Other

Posted 29 days ago

Job description

Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to get where they're going. Since our start as the Google Self-Driving Car Project in 2009, Waymo has been focused on building the Waymo Driver-The World's Most Experienced Driver-to improve everyone's access to mobility while saving thousands of lives now lost to traffic crashes. Our Waymo Driver powers Waymo One, our fully autonomous ride-hailing service, as well as Waymo Via, our trucking and local delivery service. To date, Waymo has driven over 20 million miles autonomously on public roads across 25 U.S. cities and conducted over 20 billion miles of simulation testing.
At Waymo, we are mission-driven and believe deeply in the opportunity of autonomous driving technology to improve mobility and make people's lives better. We are united by purpose and responsibility (for our employees and riders alike). We are looking for kind, committed, employees who have integrity, dream big, work together as one team and create a sense of belonging for one another that is the foundation of our culture. We want each team member to feel welcomed and included in every step of our exciting journey.

The mission of the Waymo Research team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. Research areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.

Waymo interns work alongside leaders in the industry on projects that deliver significant impact to the company. We believe learning is a two-way street: leveraging your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!

In this role, you'll:

  • Work on open-ended ML research problems for realistic simulation for the autonomous vehicle's driving environment.
  • Frame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, generative modeling, reinforcement learning, etc) to these problems; scale them to Google-sized data pipelines; and streamline them to run in real-time on the cars.
  • Collaborate with other teams, including the ML infrastructure, simulation and systems engineering teams, as well as Google Brain, DeepMind and academia.
  • Get an opportunity to publish findings in academic conferences and journals, and/or externally publicize the work in public-facing blog posts.

At a minimum we'd like you to have:

  • Currently enrolled in a PhD program in Computer Science, Robotics, similar technical field of study
  • Experience solving problems using Machine Learning with Tensorflow, JAX or equivalent tools
  • Ability to collaborate within and across teams
  • Ability to independently drive a reasonably-scoped, open-ended research project
  • Strong experience programming in Python with robust and efficient code

It's preferred if you have:

  • Strong track record of high quality ML research, for example demonstrated by conference publications in venues such as CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, etc.
  • Experience applying machine learning to sequence modeling, behavior forecasting, simulation, or robotics
  • Experience with generative models (e.g., autoregressive models, diffusion models, GANs, VAEs, etc.)

Apply