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. Please note, we are not able to consider OPT/CPT candidates - 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.
Possible Tasks within this Role- 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.
Qualification requirements- Must be a master's or Ph.D. student enrolled at a University/College or Graduation date must be within the last six months.
- 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
- Experience with ROS or ROS2 framework is a plus.
- Experience with robotics or autonomous driving software frameworks is a plus.
In San Jose, California, the hourly rates for this role are based on level of education:
Graduate (Master's): $38/hr
PhD: $42/hr
Volkswagen Group of America is an Equal Opportunity Employer. We welcome and encourage applicants from all backgrounds, and do not discriminate based on race, sex, age, disability, sexual orientation, national origin, religion, color, gender identity/expression, marital status, veteran status, or any other characteristics protected by applicable laws.
This role description is a guideline and does not create contractual rights between the Company and any of its applicants. The Company does not enter into any type of employment contract, implied or written, with its applicants regarding job security.
This Organization participates in E-Verify. We maintain a drug free workplace and perform pre-employment substance abuse testing.
Intern, ADAS/AD Software Engineering - AI DeploymentWorldwide, 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. Please note, we are not able to consider OPT/CPT candidates - 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.
Possible Tasks within this Role- 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.
Qualification requirements- Must be a master's or Ph.D. student enrolled at a University/College or Graduation date must be within the last six months.
- 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
- Experience with ROS or ROS2 framework is a plus.
- Experience with robotics or autonomous driving software frameworks is a plus.
In San Jose, California, the hourly rates for this role are based on level of education:
Graduate (Master's): $38/hr
PhD: $42/hr
Volkswagen Group of America is an Equal Opportunity Employer. We welcome and encourage applicants from all backgrounds, and do not discriminate based on race, sex, age, disability, sexual orientation, national origin, religion, color, gender identity/expression, marital status, veteran status, or any other characteristics protected by applicable laws.
This role description is a guideline and does not create contractual rights between the Company and any of its applicants. The Company does not enter into any type of employment contract, implied or written, with its applicants regarding job security.
This Organization participates in E-Verify. We maintain a drug free workplace and perform pre-employment substance abuse testing.
Job ID: 24693
Company: Audi of America, LLC
Location:
