英伟达System Software Engineer Intern, AI Performance And Efficiency Tools, Summer 2026

We are now looking for a Performance Engineer Intern to support our growing investments in perf testing of various company datacenter products and applications. Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world, all while striving to deliver the highest possible performance of our products.You will be part of global Performance Lab team, improving our capacity to expertly and accurately benchmark state-of-the-art datacenter applications and products. We also work to develop infrastructures and solutions that enhance the team’s ability to gather data through automation and designing efficient processes for testing a wide variety of applications and hardware. The data that we collect drives marketing/sales collaterals as well as engineering studies for future products. You will have the opportunity to work with multi-functional teams and in a dynamic environment where multiple projects will be active at once and priorities may shift frequently. What you’ll be doing: • Benchmark, profile, and analyze the performance of AI workloads specifically tailored for large-scale LLM training and inference, as well as High-Performance Computing (HPC) on NVIDIA supercomputers and distributed systems. • Aggregate and produce written reports with the testing data for internal sales, marketing, SW, and HW teams. • Develop Python scripts to automate the testing of various applications. • Collaborate with internal teams to debug and improve performance issues. • Assist with the development of tools and processes that improve our ability to perform automated testing. • Setup and configure systems with appropriate hardware and software to run benchmarks.

SAP Adaptive Server Enterprise (ASE) is a highly optimized relational database management system for mission critical transactional processing and operational reporting. It delivered high performance at a low total cost of ownership and is designed to run on any standard hardware and operating system. SAP ASE is widely used in banking, stock trading, insurance and other data-intensive financial businesses. Now SAP ASE is being renewed for continuing supporting on-premise businesses and extending footprint to cloud as well. After join us, you will: - Focus on Software quality, performance and scalability.- Build a strong foundation in relational database concepts.- Contribute innovative new ideas to shape the product.- Develop test plans, test framework, test cases, and test scripts.- Perform manual and automated testing against on-premise products and cloud services.- Identify, document, and track software defects.- Collaborate with development teams to understand requirements and design effective test strategies.- Collaborate with development teams to reproduce and troubleshoot for the customer issues, and provide root cause analysis.- Investigate to adopt AI technologies to improve test efficiency.

We are now looking for a Performance Engineer Intern to support our growing investments in perf testing of various company datacenter products and applications. Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world, all while striving to deliver the highest possible performance of our products.You will be part of global Performance Lab team, improving our capacity to expertly and accurately benchmark state-of-the-art datacenter applications and products. We also work to develop new scripts that enhance the team’s ability to gather data through automation and designing efficient processes for testing a wide variety of applications and hardware. The data that we collect drives marketing/sales collaterals as well as engineering studies for current and future products. You will have the opportunity to work with multi-functional teams and in a dynamic environment where multiple projects will be active at once and priorities may shift frequently. What you’ll be doing: • Benchmark, profile, and analyze the performance of AI workloads specifically tailored for large-scale LLM training and inference, as well as High-Performance Computing (HPC) on NVIDIA supercomputers and distributed systems. • Aggregate and produce written and visual reports with the testing data for internal sales, marketing, SW, and HW teams • Setup and configure systems with appropriate hardware and software to run benchmarks • Collaborate with internal teams to debug and improve performance issues • Develop Python scripts to automate the testing of various applications • Assist with the development of tools and processes that improve our ability to perform automated testing

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: Shanghai, China Onsite/Hybrid: This role require the student to work at least 3 days/week, either in a hybrid (minimum 3 Days in Office) or onsite work structure throughout the duration of the co-op/intern term. Duration: Jan - June 2026 WHAT YOU WILL BE DOING: We are seeking a highly motivated Machine Learning (ML)/Artificial Intelligence (AI) intern/co-op to join our team and contribute to the development of next-generation product differentiation features alongside expert ML/AI engineers. In this role, you will: Gain hands-on experience with cutting-edge technologies in ML, AI, and High-Performance Computing. Learn to analyze and optimize GPU Kernel to maximize performance for specific AI operations. Contribute to projects such as: Researching, developing, and deploying machine learning and computer vision solutions for AMD's current and future products. Work closely with internal teams to analyze and improve training and inference performance on AMD GPUs. Design and optimize deep learning models specifically for AMD GPU performance. Assisting AI software teams with roadmap planning, collateral development, and customer engagements. Engage with framework maintainers to ensure code changes are aligned with requirements and integrated upstream. Apply sound engineering principles to ensure robust, maintainable solutions.