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Nvidia Senior AI Engineer - DriveSim Synthetic Scenario Generation 
China, Shanghai 
11102372

24.06.2024

What you will be doing

  • Study and work on ground breaking image / video based / LLM Generative AI models. Integrate the state of art tech-knowledge to provide a more efficient and reasonable synthetics scenario generation

  • Integrate the latest Generative AI tech-knowledge with simulation business to improve the efficiency/usability of DriveSim software. Contribute to the next generation of DriveSim to accelerating autonomous development

  • Architect, design and use your software engineering expertise to optimize, deploy and productize AI models. Develop clean, efficient, well-tested production code.

  • Collaborate with Research, Omniverse team inside to provide uniformed solution for all of the SDG related tasks

What we need to see:

  • Understanding of modern concepts in Deep Neural Networks, Generative AI and Diffusion Models in particular, ideally backed by meaningful contributions to open-source projects.

  • A Bachelors or Masters Degree in an Engineering or Computer Science or related field or equivalent experience

  • 5+ years of relevant work experience. 5+ years in Machine Learning frameworks such as PyTorch, JAX or Tensorflow, ONNX Runtime, and TensorRT

  • Knowledge about RTX or PhysX with CUDA

  • Proven experience on C++, Python and parallel programming

  • Excellent communication and interpersonal skills along with the ability to work in a fast-paced and distributed team. History of mentoring junior engineers and interns is a plus.

  • Strong computer science fundamentals - algorithms and data structures, computational complexity, parallel and distributed computing, system software.

Ways to stand out from the crowd:

  • Experience with simulation or automotive, the simulation framework includes physics, traffic modeling, timing, animation systems, NPC logic

  • Working with cloud-based services

  • Experience with Universal Scene Description (USD)