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Intern Autonomous Vehicle Jobs (NOW HIRING)

... AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs ... We're looking for an intern to help build the data foundation for this agent, with a focus on ...

Autonomous Vehicle Domain Knowledge: Familiarity with autonomous driving data formats (e.g., ROS bags), simulation environments, or road testing metrics. * Chatbot Frameworks: Experience with LLM ...

Seasats designs and deploys autonomous surface vehicles that operate at sea for weeks or months at ... As a Marketing and Communications Intern, you'll create brand-aligned content, facilitate events ...

New

... AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs ... We are looking for an entry-level engineer or intern to support the optimization and deployment of ...

Marketing Intern (EtherWAN)

Irvine, CA · On-site

$16 - $21.50/hr

The selected intern will be hired by Kelly Services. Synopsis As the Product Marketing Intern, you ... This will become hugely important once 5G and autonomous vehicles go mainstream. EtherWAN's core ...

... AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs ... We are looking for an entry-level engineer or intern to support the optimization and deployment of ...

Today, we supply autonomous electric aircraft for cargo transport and crop protection to real-world ... Both vehicles are highly economical to operate, easy to deploy, and significantly reduce CO2 ...

... Autonomous Vehicle (AV). This includes topics such as perception, prediction, motion planning, controls, simulation, mapping, localization, core AI, etc. - Design, implement, train, and optimize ...

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Intern Autonomous Vehicle information

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How much do intern autonomous vehicle jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for intern autonomous vehicle in the United States is $17.44, 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 does an Intern in Autonomous Vehicles do?

An Intern in Autonomous Vehicles typically assists with the development, testing, and evaluation of self-driving car technologies. Their responsibilities may include working with sensor data, helping write and debug code, and supporting research on vehicle perception, planning, or control systems. Interns may also participate in field tests, data analysis, and collaboration with engineers to improve vehicle safety and performance. This role offers hands-on experience with cutting-edge technology and exposure to multidisciplinary teams working on the future of transportation.

What is the difference between Intern Autonomous Vehicle vs Intern Robotics Engineer?

AspectIntern Autonomous VehicleIntern Robotics Engineer
Required CredentialsRelevant coursework in autonomous systems, programming, engineeringBackground in robotics, mechanical/electrical engineering, programming
Work EnvironmentAutonomous vehicle labs, testing sites, software development teamsRobotics labs, manufacturing facilities, research centers
Industry UsageAutomotive, transportation, mobility servicesManufacturing, research, automation industries
Common Search/ComparisonYesYes

Intern Autonomous Vehicle roles focus on developing and testing self-driving car technologies, often within automotive or mobility companies. Intern Robotics Engineer positions involve designing and building robotic systems across various industries. While both roles require programming and engineering skills, the Autonomous Vehicle internship is specialized in vehicle automation, whereas Robotics Engineering covers a broader range of robotic applications.

What types of projects or tasks can an Intern in Autonomous Vehicles expect to work on during their internship?

As an Intern in Autonomous Vehicles, you can expect to be involved in a variety of hands-on projects, such as data collection and analysis for sensor systems, supporting the development and testing of perception or control algorithms, and assisting with simulation or real-world testing of autonomous platforms. You’ll typically work within a multidisciplinary team, collaborating with experienced engineers and researchers to solve real-world challenges. This role offers a great opportunity to gain exposure to cutting-edge technologies and workflows, while also building practical skills that are highly valued in the autonomous vehicle industry.

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

To thrive as an Intern in Autonomous Vehicles, you need a solid background in computer science, engineering, or robotics, with coursework or projects in artificial intelligence, machine learning, or control systems. Familiarity with programming languages like Python or C++, simulation tools such as ROS (Robot Operating System), and relevant certifications in autonomous systems are highly valuable. Strong problem-solving skills, teamwork, and effective communication set standout candidates apart in collaborative research and development environments. These skills and qualifications are crucial for contributing meaningfully to cutting-edge autonomous vehicle projects and ensuring safety, innovation, and technical excellence.
More about Intern Autonomous Vehicle jobs
What cities are hiring for Intern Autonomous Vehicle jobs? Cities with the most Intern Autonomous Vehicle job openings:
What are the most commonly searched types of Autonomous Vehicle jobs? The most popular types of Autonomous Vehicle jobs are:
What states have the most Intern Autonomous Vehicle jobs? States with the most job openings for Intern Autonomous Vehicle jobs include:
Infographic showing various Intern Autonomous Vehicle job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 7% Full Time, 91% Part Time, and 1% Temporary. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $36,265 per year, or $17.4 per hour.

AI Agent Data Pipeline Intern

XPENG

Santa Clara, CA • On-site

Internship

Posted 17 hours ago


Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
Our team builds platform capabilities that support the development and deployment of Autonomous Driving AI models. We work closely with Machine Learning Engineers to improve efficiency, quality, and reliability of the experiment lifecycle, from planning and execution to analysis and deployment readiness.
We are building an LLM-powered agent to help MLEs collect experiment context, analyze experiment progress and results, and surface useful insights across ongoing model development work.
We're looking for an intern to help build the data foundation for this agent, with a focus on cleaning, organizing, and connecting various data sources, especially noisy chat and meeting data. The intern will help build data pipelines and LLM-assisted data cleaning workflows that allow the agent to correctly retrieve, interpret, and reason over experiment-related information. Depending on progress and interest, the intern may also help fine-tune LLM-based models using curated experiment data to improve agent performance on domain-specific tasks.
Key Responsibilities
  • Build pipelines to ingest and organize experiment-related data from team communications, meeting notes, experiment plans, analysis documents, metrics, and evaluation results.
  • Use LLM-based methods to clean noisy unstructured data, extract experiment-relevant information, and convert fragmented discussions into structured records.
  • Design data schemas, metadata, and quality checks that make experiment context easier to search, trace, and use in downstream agent workflows.
  • Support retrieval and indexing workflows, including semantic search or RAG-style pipelines, so the agent can access relevant experiment context.
  • Prepare curated datasets for agent evaluation and, where applicable, LLM fine-tuning or instruction-tuning.
  • Work with MLEs and platform engineers to understand experiment workflows, data gaps, and the types of insights most useful for planning and analysis.
  • Evaluate whether the agent uses curated experiment data correctly to generate summaries, comparisons, recommendations, and analysis insights.
  • Contribute to internal tools, dashboards, or reports that help teams monitor experiment status, outcomes, and trends.

Qualifications
  • Strong skills in Python, SQL, and data processing.
  • Experience working with structured and unstructured data, including text-heavy sources such as documents, notes, messages, or logs.
  • Familiarity with data pipelines, ETL workflows, or large-scale data processing.
  • Interest in LLM development, LLM evaluation, agentic AI systems, RAG pipelines, semantic retrieval, prompt engineering, or LLM-assisted data processing.
  • Familiarity with machine learning workflows, model training, evaluation metrics, or MLOps concepts.
  • Strong analytical thinking and attention to data quality, consistency, and reliability.
  • Comfort working with ambiguous data sources and collaborating with ML and platform engineers to clarify requirements.
  • Previous experience building internal tools, automation scripts, or data quality checks.

What do we provide:
  • A fun, supportive and engaging environment.
  • Infrastructures and computational resources to support your work.
  • Opportunity to work on cutting edge technologies with the top talents in the field.
  • Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving.
  • Competitive compensation package.
  • Snacks, lunches, dinners, and fun activities.

We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.