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$101.8K

$137.5K

How much do volkswagen engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for volkswagen engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What is a Volkswagen Engineer job?

A Volkswagen Engineer is responsible for designing, developing, and improving vehicles and automotive systems for Volkswagen. They work in various engineering disciplines, including mechanical, electrical, and software engineering, to enhance performance, safety, and efficiency. Their role may involve testing prototypes, collaborating with cross-functional teams, and ensuring compliance with industry standards. Volkswagen Engineers contribute to innovation in areas such as electric vehicles, autonomous driving, and sustainability.

What are typical daily responsibilities for a Volkswagen Engineer?

As a Volkswagen Engineer, your daily responsibilities may include designing and testing automotive systems, evaluating prototypes, analyzing data from vehicle diagnostics, and troubleshooting technical issues. You’ll often collaborate with multidisciplinary teams, such as designers, quality assurance, and production specialists, to ensure that all automotive components meet Volkswagen's rigorous standards. The role may also involve participating in meetings to discuss project milestones, implementing process improvements, and documenting engineering changes. This dynamic environment offers both hands-on technical work and opportunities to contribute ideas to innovative vehicle solutions.

What are the key skills and qualifications needed to thrive in the Volkswagen Engineer position, and why are they important?

To thrive as a Volkswagen Engineer, you need a strong background in automotive engineering, mechanical or electrical systems, and usually a relevant engineering degree. Proficiency with CAD software, diagnostic tools, and familiarity with automotive manufacturing processes—along with certifications like Six Sigma or ISO standards—is often required. Strong problem-solving abilities, attention to detail, effective teamwork, and communication skills set exceptional candidates apart. These competencies ensure high-quality vehicle development, efficient project execution, and smooth collaboration within cross-functional engineering teams.

More about Volkswagen Engineer jobs
What are the most commonly searched types of Volkswagen Engineer jobs? The most popular types of Volkswagen Engineer jobs are:
What job categories do people searching Volkswagen Engineer jobs look for? The top searched job categories for Volkswagen Engineer jobs are:
Volkswagen Engineer jobs near you

Intern, ADAS/AD Software Engineering - AI Deployment

Volkswagen AG

San Jose, CA

$38/hr

Other

Posted 24 days ago

Job description

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, SKODA, Bentley, Bugatti, Lamborghini, Porsche, Ducati, Volkswagen Commercial Vehicles, Scania and MAN.

Brief Role Description

This 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.

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