英伟达Performance Engineering Intern - 2026
任职要求
• Pursuing BS in Computer Science or similar computer discipline. • Good knowledge of Python or other scripting languages. • Experienced and passionate about PC games or content creation. • Linux and Windows knowledge. • Good knowledge of PC systems and components. • Capability to work with …
工作职责
We are now looking for a GeForce/ProViz Performance Engineer Intern! This position offers the chance to create a significant impact in a dynamic, technology focused company. As a member of the Performance Lab team, you will reach firsthand GPUs and optimize performance from designing stage till whole product lifetime, architectures to extend the state of the art in Gaming, Professional Visualization, Cloud Gaming, Data Center efficiency and performance. What you’ll be doing: • Identify, run graphics, studio and WinAI benchmarks across servers, PCs, workstations and laptops. • Compose competitive analysis reports for internal and external customers to position NVIDIA products appropriately using their evaluation. • Develop and maintain automation scripts for games/studio/WinAI performance and system monitoring data collection on Windows and Linux to speed up providing business and engineering insights. • Develop, implement and maintain tools to improve testing efficiency.
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.
Have you ever wanted to join a groundbreaking company that is crafting the future of the tech industry? Are you a creative individual with an analytical attitude and a real passion for technology? If this sounds like you then we want to hear from you. We are looking for a dedicated team member to be part of our Performance Lab team to build and improve the work class lab. What you’ll be doing: • Candidate will create, tune, run and analyze graphics and systems benchmarks on PCs, workstations and laptops. Tasks may include some scripting to automate current test processes and benchmarks for improved efficiency. • Candidate may also need to configure computer systems with appropriate hardware and software to run benchmarks on various systems. They would run benchmarks on these systems. • Candidate would analyze results from benchmark runs and create reports to position NVIDIA products appropriately using their evaluation.
• 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.
We are seeking a motivated Machine Learning Engineer Intern to join our autonomous vehicle research and development team. The intern will assist in building, training, and optimizing machine learning models that enable real-time perception, decision-making, and control for self-driving vehicles. What you’ll be doing: • Develop and test deep learning models for object detection, tracking, and behavior prediction. • Preprocess and analyze sensor data from LiDAR, radar, and camera systems. • Collaborate with cross-functional teams on algorithm integration and performance evaluation. • Support data labeling, simulation, and validation pipelines. • Document model performance and contribute to internal reports.