英伟达System Software Engineer Intern, Web Applications, Summer 2026
任职要求
• Pursuing a bachelor's degree in CS, CE, or related fields. • Solid knowledge of Java Language and common Java API's. • Thorough knowledge of object-oriented design. • Experience with SQL and at least one SQL database server. • Knowledge of at least on…
工作职责
A key part of Nvidia's strength is our unique, advanced, development tools and environments that enable our incredible pace of delivering new technology to market. We are looking for hard-working, and creative people who passionate about joining a dynamic agile software team with high production quality standards that can help across our infrastructure. The roles below offer the opportunity to play a critical part in every stage of development of GPU technology, and to learn and improve the daily workflows of the world’s top chip designers and to apply machine and deep learning to every part of our chip development pipeline. All of our roles require excellent interpersonal skills and flexibility/adaptability for working in a dynamic environment with different frameworks and requirements. What you’ll be doing: • Develop the user interface and front-end application for comprehensive workflows for the development of new graphics chips. • Working on backend and frontend design and development of proprietary web applications for hardware development. • Interact directly with end users. • Analyzing performance bottlenecks in the workflow and application. • Build infrastructure and microservices to support the hardware development teams.
• Build internal profiling/analysis tools for real world application perf/power analysis at system from small to large scale. • Build infrastructure or services for data visualization/mining and management. • Work with our users to build their perf/power models on top of our tools for next generation HW design.
• Help design, develop, and improve scalable infrastructure to support the next generation of AI applications, including copilots and agentic tools. • Drive improvements in architecture, performance, and reliability, enabling teams to bring to bear LLMs and advanced agent frameworks at scale. • Stay informed of the latest advancements in AI infrastructure and contribute to continuous innovation.
1、负责内存芯片（System Cache、SMMU、DDR）及存储器模块的架构设计、优化和性能提升； 2、负责内存管理以及子系统优化，负责多媒体领域内存管理（包含性能优化、内存容量管理等）和性能优化； 3、负责文件系统、老化等系统分析、设计和优化，提升系统性能； 4、洞察行业内存存储技术，研究软硬件前沿技术，输出领域技术规划，推动软硬件协同设计。
1.参与AI与GPU相关项目的性能优化与研发，通过利用并行计算优化、架构优化、量化优化和异构调度等高性能优化技术，研发行业领先的高性能异构AI优化技术与编译优化技术； 2.针对搜广推、音视频以及大模型场景，优化大模型训练和推理场景的性能； 3.与公司各算法部门深度合作，对重点项目进行算法与系统的联合优化。