[Skip to main content](#main-content) [ OpenNash ](https://opennash.com/) / [Jobs](https://jobs.opennash.com/) [ 01 Search jobs](https://jobs.opennash.com/search/)[ 02 Companies](https://jobs.opennash.com/explore/)[ 03 Hiring report](https://jobs.opennash.com/reports/hiring/)[ 04 AI assistants](https://jobs.opennash.com/connect/)[ 05 How it works](https://jobs.opennash.com/methodology/) NVIDIA · Multiple locations # GPU Computing Software Engineering Intern, Autonomous Driving - 2027 Multiple locations Early career Software Engineering Listed on NVIDIA’s official careers site. Posted October 22, 2026. Check that it is still open and apply there. [Apply on NVIDIA’s careers site →](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/China-Shanghai/GPU-Computing-Software-Engineering-Intern--Autonomous-Driving---2027_JR2026546) [OpenNash Jobs](https://jobs.opennash.com/) / [NVIDIA](https://jobs.opennash.com/companies/nvidia/) / GPU Computing Software Engineering Intern, Autonomous Driving - 2027 ## Job description 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. ### What we need to see 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 Learning, especially CUDA. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. ## At a glance - Posted by the employer: Oct 22, 2026 - First seen by OpenNash: Oct 27, 2026 - Last checked: Nov 3, 2026 - Listed for: 12 days - Location: Multiple locations[Apply on NVIDIA’s careers site →](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/China-Shanghai/GPU-Computing-Software-Engineering-Intern--Autonomous-Driving---2027_JR2026546) ## Hiring at NVIDIA - Open jobs: 2,719 - New in the last 7 days: After two weekly collections - Tracked since: Jul 10, 2026 [All NVIDIA jobs](https://jobs.opennash.com/companies/nvidia/) · [Weekly hiring report](/reports/hiring/) ## More jobs at NVIDIA ### [AI Computing Software Development Engineer, TensorRT-LLM](https://jobs.opennash.com/companies/nvidia/jobs/77afa0609aa79b42b8bf/) ### [AI Computing Software Development Intern - 2027](https://jobs.opennash.com/companies/nvidia/jobs/2604940341bdd205a387/) ### [AI Computing Software Development Intern, LLM Inference - 2027](https://jobs.opennash.com/companies/nvidia/jobs/5c2898ad9721f640226a/) ### [AI Computing Software Intern, GPU Kernel Libraries - 2027](https://jobs.opennash.com/companies/nvidia/jobs/e5e58114cef438d1674b/) ### [AI Developer Technology Engineer](https://jobs.opennash.com/companies/nvidia/jobs/452fe02898b03b83dd5e/) ## Similar jobs at other companies ### [Software Engineer - Cloud Computing](https://jobs.opennash.com/companies/mercadolibre/jobs/787610e78547e8b07e3c/) MercadoLibre · Sudeste, Brazil, Osasco, SP, BR, São Paulo ### [GPU Software Engineer - Cork, Ireland](https://jobs.opennash.com/companies/qualcomm/jobs/24f30570cd647d7f5b7f/) Qualcomm · Cork, Ireland ### [Senior Principal Engineer Software Concepts Power-Aware Automotive Computing (f/m/div)](https://jobs.opennash.com/companies/infineon-technologies/jobs/f22bfb783de1e4902807/) Infineon Technologies · Munich ### [Senior Software Engineer - GPU COGS](https://jobs.opennash.com/companies/microsoft/jobs/022a230f1eda2792d7a9/) Microsoft · China, Jiangsu, Suzhou, Shanghai, Beijing ### [Staff Engineer, Product Validation Engineering ( CPU / GPU / NPU) Performance & Benchmarking, 9-13 years, Bangalore](https://jobs.opennash.com/companies/sandisk/jobs/3809ff86925a71e98567/) Sandisk OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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