Senior System Software Engineer at Nvidia in Shanghai, Shanghai, China

Senior System Software Engineer Location: China, Shanghai We are currently seeking an outstanding Senior Software System Engineer to customize and expand NVIDIA’s autonomous driving solutions. As part of our team, you will be tasked with delivering the core product to various customers or platforms. You will also adjust and scale the core product to ensure comparable performance. What You'll Be Doing: Building NVIDIA’s foundation model-based end-to-end stack for autonomous driving. Implementing end-to-end data-driven AV pipelines and large-scale model architectures. Applied research and development of innovative deep learning models for generalizable approaches to support diverse ODDs and country/region expansion. Performing deep issue triage with accurate analysis and debugging steps. Developing and maintaining product performance with Top N based on triage analysis from in-car tests and digital tests across different customers and car lines. Developing a deep understanding of AD product definition and system specifications. Working with different teams to root cause and address problems, driving them to closure. Collaborating with an elite team of engineers to build a unified production system that sets new industry standards across different countries and regions. What We Need to See: We are looking for engineers who can build comprehensive systems, not just individual components. You should have: An MS or higher in an engineering or technical field (Mechanical, Electrical, Computer Science, Physics, etc.). Over 5 years of practical experience in building production autonomous driving systems, supported by a solid history in vehicle series production projects. Experience with AI foundation models, large-scale ML systems, and end-to-end driving models in data-driven development. Strong programming skills in Python and/or C++. Outstanding communication and collaboration skills, as we work as a tightly-knit team, always discussing and learning from each other. Ways to Stand Out from the Crowd: 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. Successful candidates will bring deep technical expertise in automotive functions supported by artificial intelligence and grow with solving sophisticated real-world problems. If you are ambitious and have a consistent track record of development in the industry, this is the place for you!