Intern, ADAS/AD Software Engineering - AI Deployment Intern, ADAS/AD Software Engineering - AI Deployment Intern, ADAS/AD Software Engineering - AI Deployment

Volkswagen AG • San Jose, CA

1d • Onsite

About The Position

Worldwide, the Volkswagen Group has a long tradition of dramatic innovations. The Volkswagen Group with its headquarters in Wolfsburg, Germany is one of the world’s leading automobile manufacturers and the largest carmaker in Europe. The Group comprises twelve brands from seven European countries: Volkswagen Passenger Cars, Audi, SEAT, ŠKODA, Bentley, Bugatti, Lamborghini, Porsche, Ducati, Volkswagen Commercial Vehicles, Scania and MAN.Brief Role DescriptionThis position is a career level Intern and is located in San Jose, CA role classification of Fully On Site

The candidate will be placed in an interdisciplinary team working towards advanced autonomous driving functions.
The intern will focus on integrating a neural network–based software component into an existing prototype vehicle platform.
The internship offers hands-on experience in deploying artificial intelligence–based algorithms into a real-time vehicle environment and interfacing them with vehicle sensors and software systems.

Requirements

• Strong programming skills in C++ and/or Python.
• Experience with Linux-based development environments.
• GPU inference fundamentals (batching, precision, memory bandwidth/ latency basics)
• Understanding of and experience with integrating VLMs
• Practical experience with Hugging Face Transformers and model exports (ONNX, TRT)
• Knowledge of Nvidia deployment tools and libraries such as Cuda, TensorRT, TensorRT-LLM

Nice To Haves

• Experience with ROS or ROS2 framework is a plus.
• Experience with robotics or autonomous driving software frameworks is a plus.

Responsibilities

• Integrate vision-language models into the prototype vehicle software stack on NVIDIA automotive compute platforms.
• Optimize model inference for real-time performance using NVIDIA deployment toolchains (for example, CUDA, TensorRT, and TensorRT for large language models).
• Implement and maintain software interfaces between the model runtime and vehicle sensors, logging, and downstream consumers.
• Develop benchmarking, testing, and validation workflows; document integration steps and performance results.

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees