Nvidia Senior AI Engineer - DriveSim Synthetic Scenario Generation 

China, Shanghai 

11102372

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)