Volkswagen Group of America-posted 3 months ago
$140,000 - $170,000/Yr
Full-time • Mid Level
Hybrid • Belmont, CA
1,001-5,000 employees
Motor Vehicle and Parts Dealers

The AI Engineer role at Volkswagen Group focuses on applying machine learning and deep learning technologies to the autonomous driving industry. This position involves working on AI use cases such as test automation, simulation, and data analytics to support production testing and validation teams. The role requires a high level of independence and the ability to navigate ambiguity. The ideal candidate will have a background in Computer Science Engineering or equivalent, with experience in software development and architecture.

  • Build scalable AI and ML based solutions to support production AD development use cases including simulation, test automation, and data analytics.
  • Maintain and enhance existing machine learning modules.
  • Design and implement new machine learning based approaches based on existing frameworks.
  • Develop KPI and operations frameworks for continuous validation and MLOps.
  • Keep up to speed with the state of the art of academic research and technology in the industry.
  • Transfer technologies and solutions to Volkswagen Group.
  • Integrate new software modules into existing cloud, data, and simulation frameworks.
  • Define and execute test cases based on insights derived from AI data analytics.
  • Test developed modules in the prototype (unit tests, integration tests, in-vehicle/field tests, etc.).
  • Analyze and evaluate conducted tests.
  • Assess quality of test environment, AI models, and driving function to identify areas for improvement.
  • Develop technical specifications and documentation.
  • 5 years of experience or equivalent.
  • Master's Degree in Computer Science or equivalent.
  • Strong communication skills to explain complex technical topics to non-experts.
  • Team player with good collaboration and integration skills.
  • Highly innovative with problem-solving and analytical skills.
  • Experience in Deep Neural Network Learning, Computer Vision, and Machine Learning.
  • Strong programming skills with Python and PyTorch/TensorFlow.
  • Experience with data gathering, data quality, and system architecture.
  • Experience with feature extraction and engineering from various data sources.
  • Excellent knowledge and practical experience with AI technologies for simulation and data analytics.
  • PhD strongly preferred.
  • Expert knowledge in Software-in-the-Loop testing.
  • Experience with simulation frameworks such as VTD, Unity, Unreal, ASM, or similar.
  • Experience with algorithm development for simulation and data analytics use cases.
  • Background or strong interest in automotive engineering.
  • Experience with C, CUDA, OpenCV, and MATLAB.
  • Big Data and cloud experience strongly preferred.
  • Experience in regulated industries such as automotive, aerospace, medical devices.
  • Passion for cars or physical products.
  • Eligibility for annual performance bonus.
  • Healthcare benefits.
  • 401(k), with company match.
  • Defined contribution retirement program.
  • Tuition reimbursement.
  • Company lease car program.
  • Paid time off.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service