英伟达Software Engineering Intern, CUDA Test Development - 2026

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’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.

We are now looking for a software engineer intern. The NVIDIA Developer Tools team is seeking a software engineer intern to join our effort to advance the state of graphics and compute performance analysis and tuning. You will help developers of groundbreaking products in Automotive, VR, Gaming, Deep Learning and High Performance Computing to analyze and improve the performance of their products. You will have the opportunity to learn the pipeline and driver stack of the world's most sophisticated GPUs, work with a group of talented engineers from all over the world, and apply your software development skills to improve our products. What you’ll be doing: • Develop algorithms to exercise various parts of the GPU pipeline to verify our performance metrics. • Deeply dive into NVIDIA GPU architecture and software stack, develop new feature for NVIDIA GPU performance profiling tools. • Write unit and integration tests to verify the functionality, performance, stability, resource usage of our products.

An exciting internship opportunity to make an immediate contribution to AMD's next generation of technology innovations awaits you! We have a multifaceted, high-energy work environment filled with a diverse group of employees, and we provide outstanding opportunities for developing your career. During your internship, our programs provide the opportunity to collaborate with AMD leaders, receive one-on-one mentorship, attend amazing networking events, and much more. Being part of AMD means receiving hands-on experience that will give you a competitive edge. Together We Advance your career! JOB DETAILS: Location: Beijing,China Onsite/Hybrid: at least 3 days a week, either in a hybrid or onsite or remote work structure throughout the duration of the co-op/intern term. Duration: at least 6 months WHAT YOU WILL BE DOING: We are seeking highly motivated AI Compiler Software Engineering intern/co-op to join our team. In this role – We will involve you in extending Triton’s compiler infrastructure to support new AI workloads and hardware targets. We will assign you tasks to implement and optimize GPU kernels using Triton’s Python-based DSL. We will train you to analyze kernel performance using profiling tools and help you identify bottlenecks and optimization opportunities. We will understand how modern compilers translate high-level abstractions into efficient machine code.