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Internship Electric Vehicles Jobs (NOW HIRING)

XPENG

AI Intern - VLA Deployment

Santa Clara, CA · On-site

... vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL ... Internship, research, or project experience in deep learning model deployment, inference ...

XPENG

AI Intern - VLA Deployment

Santa Clara, CA · On-site

... vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL ... Internship, research, or project experience in deep learning model deployment, inference ...

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Internship Electric Vehicles information

What kinds of projects and tasks can I expect to work on during an internship in electric vehicles?

As an intern in the electric vehicle (EV) industry, you can expect to be involved in a variety of hands-on and research-based projects, such as assisting with battery testing, supporting prototype vehicle development, analyzing data from vehicle sensors, or helping with charging infrastructure studies. You may also collaborate with engineers on design improvements, participate in team meetings, and contribute to technical documentation. The work environment is typically fast-paced and collaborative, offering valuable exposure to cutting-edge technology and opportunities to learn from experienced professionals.

What is the difference between Internship Electric Vehicles vs Electric Vehicle Technician?

AspectInternship Electric VehiclesElectric Vehicle Technician
CredentialsTypically students or entry-level candidates pursuing relevant educationCertifications in EV repair, automotive technology, or related fields often required
Work EnvironmentTraining settings, labs, or dealership internshipsRepair shops, service centers, dealerships
Employer & IndustryAutomotive companies, startups, research institutionsAutomotive service centers, dealerships, EV manufacturers

Internship Electric Vehicles provides hands-on training and experience for students or entry-level individuals exploring the EV industry, while Electric Vehicle Technicians are skilled professionals performing repairs and maintenance. Internships are educational opportunities, whereas technician roles involve active job responsibilities.

What are the key skills and qualifications needed to thrive as an internship in electric vehicles, and why are they important?

To thrive in an Electric Vehicles internship, a solid background in electrical or mechanical engineering principles and current academic enrollment in a related field are essential. Familiarity with CAD software, circuit simulation tools, and basic programming languages, along with knowledge of EV systems, is highly valuable. Strong problem-solving abilities, effective communication, and a willingness to learn make interns stand out. These skills enable interns to contribute meaningfully to projects, adapt to evolving technologies, and collaborate efficiently within engineering teams.

What is an internship in electric vehicles?

An internship in electric vehicles is a temporary position, typically for students or recent graduates, that provides hands-on experience working with electric vehicle technology and related industries. Interns may assist with research, design, manufacturing, testing, or marketing of electric vehicles, depending on the company and department. This experience helps build practical skills and industry knowledge, and can be a valuable stepping stone to a full-time career in the growing field of electric mobility.
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What are the most commonly searched types of Electric Vehicles jobs? The most popular types of Electric Vehicles jobs are:
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What job categories do people searching Internship Electric Vehicles jobs look for? The top searched job categories for Internship Electric Vehicles jobs are:
Internship Electric Vehicles jobs near you
Infographic showing various Internship Electric Vehicles job openings in the United States as of July 2026, with employment types broken down into 88% Full Time, 10% Part Time, 1% Contract, and 1% Nights. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution.

AI Intern - VLA Deployment

XPENG

Santa Clara, CA • On-site

Internship

Re-posted 3 days 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.
The Mission: Vision-Language-Action (VLA) models and foundation models are becoming increasingly important in autonomous driving, but turning research models into real-time, production-ready systems on vehicle hardware remains a major challenge. We are looking for an entry-level engineer or intern to support the optimization and deployment of multimodal models onto vehicle-grade compute platforms. This role is a strong fit for candidates who are excited about deep learning systems, model deployment, and edge inference for real-world autonomous driving applications.
Key Responsibilities
  • Support model quantization and deployment efforts for large-scale multimodal models, including Transformers and vision-language models.
  • Assist with applying model optimization techniques such as post-training quantization, quantization-aware training, pruning, and related compression methods under guidance from senior engineers.
  • Work with research and platform teams to help improve model deployability and understand hardware and runtime constraints.
  • Contribute to deployment tools, test pipelines, and runtime modules in C++ and Python for autonomous driving systems.
  • Help analyze model performance, memory usage, latency, and numerical accuracy across different deployment targets.
  • Participate in debugging and performance tuning across the model, runtime, and system stack.
  • Support validation and testing workflows to ensure stable and reliable deployment in vehicle and simulation environments.

Basic Qualifications
  • BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field.
  • Strong programming skills in C++ and/or Python.
  • Familiarity with deep learning frameworks such as PyTorch.
  • Basic understanding of model inference, deployment, or optimization workflows using tools such as ONNX, TensorRT, or similar frameworks.
  • Exposure to model compression or quantization concepts such as INT8, FP16, or related approaches.
  • Interest in computer architecture, performance optimization, and edge or embedded systems.
  • Strong problem-solving skills and the ability to learn quickly in a fast-paced engineering environment.
  • Good communication skills and the ability to collaborate with cross-functional teams.

Preferred Qualifications
  • Internship, research, or project experience in deep learning model deployment, inference acceleration, or embedded AI.
  • Familiarity with Transformers, multimodal models, or foundation models.
  • Experience with CUDA or GPU programming.
  • Exposure to autonomous driving, robotics, or real-time systems.
  • Contributions to research projects, open-source repositories, or relevant course projects.

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.

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