Nvidia System Software Engineer Intern - Autonomous Vehicles Platform 

China, Shanghai 

783121259

What you'll be doing:

• Design and implement Automotive Vehicles software platforms, including application design, kernelmodifications/extensions,driverimplementation/enhancement,system integration, performance optimization, stress/stability & tools development

• Integrate the full-stack software including system software, AV application, DNN, and kernel together to build the start-of-art Automotive Vehicle platforms

• Drive the reliability of the software platform, which includes Time sync, Vehicle Network, RADAR, LiDAR, Camera sensor processing, and fusion

• Develop and maintain LLM based applications to serve AV platform, such as LLM based QA bot, debug tips etc.

• Based on the industry's most advanced technology, develop the massive data processing from autonomous driving

• Triage the Automotive Vehicle Fleet issues and debug with the global team

• Work in an environment that involves Linux & QNX RTOS

What we need to see:

• Pursuing BS or MS inCS/CE/EEor equivalent program.

• Experience in research and development of DeepLearning/Transformer/NLP/LLMtechnology

• Excellent programming skills in some rapid prototyping environment such as Python/C/C++

• Strong Linux kernel, application-level system software experience

• Ability and flexibility to work and communicate effectively in a multinational, multi-time-zone corporate environment

• Self-motivated and a good teammate

Ways to stand out from the crowd:

• Prior experience in the Automotive field

• Background in QNX RTOS and debug tools. Worked with CAN and tools, RADAR, LiDAR

• Gather knowhow on datasets for LLM training & evaluation.

• Experience in developing and maintaining AI or machine learning infrastructure, preferably in the context of large language models.