又来招人啦,这次还是招聘 GPU 性能架构师,负责优化自动驾驶相关的算法在 NVIDIA 自动驾驶平台上的性能。
下面是一些大家关心的干货:
鉴于现在的特殊情况,从面试到入职应该都是在家办公,有兴趣的同学可以发邮件到 mlv@nvidia.com
下面是 JD
WHAT YOU’LL BE DOING:
You will work on delivering most efficient software for GPU and PVA for Autonomous Driving solutions on NVIDIA DRIVE AGX Platform
You will analyze, prototype and optimize key applications for both existing and new architectures for GPU and PVA
You will build model to predict performance, power and reliability on future architectures and propose and evaluate new architecture features
You will be involved in crafting tools to analyze, simulate, validate and verify application performance and energy consumption
You will collaborate with different teams to improve the GPU and PVA architectures to extend the state of the art in performance, efficiency, reliability and programmability
WHAT WE NEED TO SEE:
Masters or PhD or equivalent experience in relevant discipline (CE, CS&E, CS, AI)
Excellent C/C++ programming and software design skills
Strong background in computer architecture, high performance computing
Performance modelling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU
GPU programming experience (CUDA or OpenCL) desired
WAYS TO STAND OUT FROM THE CROWD:
GPU and DSP programming, performance analysis, modelling and optimization experience
Autonomous vehicle software development experience
Expertise in characterizing and modeling system-level performance, executing comparison studies, and documenting and publishing results
Experience in deep learning, computer vision and self-driving car domain
这是一个专为移动设备优化的页面(即为了让你能够在 Google 搜索结果里秒开这个页面),如果你希望参与 V2EX 社区的讨论,你可以继续到 V2EX 上打开本讨论主题的完整版本。
V2EX 是创意工作者们的社区,是一个分享自己正在做的有趣事物、交流想法,可以遇见新朋友甚至新机会的地方。
V2EX is a community of developers, designers and creative people.