Senior System Software Engineer

NVIDIA NVIDIA · Semiconductors · Shanghai, China

Senior Software System Engineer to customize and expand NVIDIA’s autonomous driving solutions, delivering and scaling a foundation model-based end-to-end stack for autonomous driving. Involves applied research and development of deep learning models, issue triage, performance maintenance, and collaboration to build a unified production system.

What you'd actually do

  1. Building NVIDIA’s foundation model-based end-to-end stack for autonomous driving.
  2. Performing deep issue triage with accurate analysis and debugging steps.
  3. Developing a deep understanding of AD product definition and system specifications.
  4. Collaborating with an elite team of engineers to build a unified production system that sets new industry standards across different countries and regions.

Skills

Required

  • MS or higher in an engineering or technical field
  • Over 5 years of practical experience in building production autonomous driving systems
  • Experience with AI foundation models, large-scale ML systems, and end-to-end driving models
  • Strong programming skills in Python and/or C++
  • Outstanding communication and collaboration skills

Nice to have

  • Practical experience in building and launching DNN-based AV solutions on embedded platforms for real-time applications
  • Experience developing and/or owning the development of ADAS functions/products
  • Experience with customer management and interaction
  • deep technical expertise in automotive functions supported by artificial intelligence
  • consistent track record of development in the industry

What the JD emphasized

  • Over 5 years of practical experience in building production autonomous driving systems
  • Experience with AI foundation models, large-scale ML systems, and end-to-end driving models in data-driven development.

Other signals

  • foundation model-based end-to-end stack
  • large-scale model architectures
  • deep learning models for generalizable approaches
  • AI foundation models, large-scale ML systems, and end-to-end driving models