单位名称 | 英伟达半导体科技(上海)有限公司 | 单位性质 | 外商投资企业 |
---|---|---|---|
单位地址 | 上海市市辖区 | 单位行业 | 信息传输、软件和信息技术服务业 |
单位规模 | 300-499人 | 单位网址 | https://www.nvidia.cn |
学历要求 | 招聘总人数 | 研究生人数 | 本科生人数 |
---|---|---|---|
硕士生 | 10 | 不限 | 不限 |
学历等级 | 专业名称 | 职位名称 | 招聘人数 |
---|---|---|---|
研究生专业 | 计算机科学与技术 | 工程技术人员 | 5 |
研究生专业 | 计算机系统结构 | 工程技术人员 | 5 |
招聘岗位: GPU Graphics Performance Architecture
What you'll be doing:
· Investigate and study state-of-the-art real-time rendering techniques especially Ray Tracing and their implementation on GPU, to find performance issues and propose architectural ideas to improve GPU’s performance.
· Investigate and study D3D12, DX Machine Learning, DX Ray Tracing and Vulkan APIs and their impact to GPU, to propose architectural ideas to improve GPU’s performance.
· Investigate and propose GPU graphics architectural ideas to improve performance based on quantitative study of existing and projected architectures.
· Develop 3D micro-benchmarks to study GPU’s performance and propose performance improvement ideas.
· Develop performance simulation models and simulation infrastructure.
· Develop performance testplan and tests for new graphics units and architectural features.
What we need to see:
· Solid knowledge of computer science, with the focus on computer graphics and/or computer architecture.
· Strong interest in GPU graphics architecture, real time rendering and Ray Tracing technologies.
· Good mastery of C++ language and practical C/C++ development experience.
Ways to stand out from the crowd:
· Good understanding of state-of-the-art rendering techniques especially Ray Tracing and their usage of GPU.
· Experience of D3D12 and DX Ray Tracing APIs is a good plus.
· Experience of performance modelling, profiling and analysis is a plus.
欢迎能够实习6个月以上,熟练使用C++了解计算机体系结构/系统结构等相关知识的2021/2022届同学踊跃投递简历。
投递邮箱:kmeng@nvidia.com
请详细说明你可以从何时开始实习到何时结束,一周出勤几天以及具体的毕业时间。