英伟达GPU Computing Software Engineering Intern, Autonomous Driving - 2026
任职要求
• Pursuing BS or higher degree in CS/EE/CE or equivalent. • Good programming experience on Linux OS. • Good programming skills in C and C++, python is a plus. • Strong knowledge about Linux Shell and Makefile. • Have knowledge about the popular inference network and Deep Learning layers. • Experience with deep learning Pytorch framework. • Good at read and written in English. Ways to stand out from the crowd: • Familiarity with NVIDIA GPU hardware products (Tesla, Jetson, DGX, etc). • Working knowledge of NVIDIA GPU Computing (CUDA) and CUDA-X libraries for Deep Learni…
工作职责
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. This is our life’s work — to amplify human imagination and intelligence. AI becomes more and more important in self-driving car. NVIDIA is at the forefront of the AI-City and self-driving revolution and providing powerful solutions for them. All these solutions are based on GPU-accelerated libraries, such as CUDA, cuDNN and TensorRT, etc.Now, we are now looking for CPU computing interns based in Shanghai. Join the team to provide the powerful AI solution to the entire world! What you’ll be doing: • Analyze the GPU computing issues and write some test code for them. • Write some documentation about the analysis of the issue.
NVIDIA is the world leader in GPU Computing. We are passionate about four markets: Gaming, Automotive, Enterprise Graphics and HPC/Cloud Datacenters; in addition to our traditional OEM business. We are well positioned as the ‘AI Computing Company’, and our GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, big data, modern data centers, smart cities, and driving autonomous vehicles.We have some of the most brilliant and talented people in the world working for us. If you are talented, bright, driven and if working with smart technical people across countries sounds interesting, this job is for you. Our team is mainly focusing on CUDA Automation testing, CUDA Safety and CUDA test development area and we are now looking for a CUDA Test Development Software Intern. What you’ll be doing: • Design and Implement API tests for CUDA driver and library. • Automate CUDA tests, design test plan and enable them in automation testing infrastructure. • Triage test results, isolate test failures and improve test coverage.
NVIDIA is the world leader in GPU Computing. We are passionate about four markets: Gaming, Automotive, Enterprise Graphics and HPC/Cloud Datacenters; in addition to our traditional OEM business. We are well positioned as the ‘AI Computing Company’, and our GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, big data, modern data centers, smart cities, and driving autonomous vehicles.We have some of the most brilliant and talented people in the world working for us. If you are talented, bright, driven and if working with smart technical people across countries sounds interesting, this job is for you. Our team is mainly focusing on CUDA Automation testing, CUDA Safety and CUDA test development area and we are now looking for a CUDA Test Development Software Intern. What you’ll be doing: • Design and Implement API tests for CUDA driver and library. • Automate CUDA tests, design test plan and enable them in automation testing infrastructure. • Triage test results, isolate test failures and improve test coverage.
NVIDIA is now looking for an Intern of System Software Engineers for its Autonomous Vehicle teams. As an intern of our team, you will be responsible for assisting senior engineers on developing and maintaining software to drive the car, given various sensor input devices including Camera’s, LIDAR, RADAR, GPS, IMU and others on Vehicle CAN, work with different teams here to transform the information into driving the car with the best experience. You will work with different teams on all sort of challenging problems for autonomous driving including computer vision, deep learning, object tracking, car controlling. You will help build the software and make it work flawlessly and safely on our driving platform. We expect you to have strong communication, organizational, and analytical skills. Solid understanding and strong system software experience is a requirement. Experience with GPU technology, image processing, computer vision, and multimedia are highly valued. Familiarity with deep learning / artificial intelligence is desirable. What you’ll be doing: • Craft the driving application for Autonomous Vehicle products • Solve the real challenging problems in the software with different teams and to drive the car with the best experience • Performance optimization on our driving platforms
• Work on research, design and implementation of software features that are beneficial to our customers to meet their performance targets and build unique values• World model and nvidia cosmos related development and bug fixes• Develop solutions for DNN models acceleration optimization and deployment.