- 工作地点：上海
- 职位：C++ Engineer - GPU Profiling Tool
- 信息来源：前程无忧(51JOB)
说明：
专业1:计算机科学与技术
专业2:电子信息科学与技术
职能类别:软件工程师
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你会做些什么：
深入GPU驱动和体系结构，开发GPU Performance Profiling Tool
我们希望看到这样的你：
优秀的C++编程能力
具备一定的Graphics API基础
熟悉图形驱动开发优先
What you’ll be doing:
Develop new tools for GPUs running on desktop, embedded and custom operating systems
Work with multi-disciplinary teams to design, implement, and verify performance metrics and collection methodologies for NVIDIA GPUs.
Innovate and improve our GPU profiling library with new features to allow developers to extract the best performance out of their applications.
Create software that will be used to analyze graphics and compute dispatch shaders to ensure efficient use of GPU hardware
Understand and utilize the NVIDIA GPU performance monitoring system
Work with NVIDIA's GPU Architecture and Developer Technology teams to refine data collection methodology and practices and add to our library
What we need to see:
Strong programming ability in C, C++.
Knowledge of computer architecture (e.g.: x86, ARM CPUs, GPUs)
Experience working in device drivers, realtime systems, graphics/compute APIs (OpenGL, D3D, CUDA, etc), or other low level library development
Ways to stand out from the crowd:
Background including shipping device drivers or system software
Knowledge of a GPU API's such as: CUDA, OpenCL, OpenGL, Direct3D, Vulkan
Prior experience authoring developer tools, particularly for GPUs or games
Understand game engine core technologies as it applies to GPU hardware
Experience in performance analysis, particularly of GPU applications
You have worked on computer algorithms and proven ability to choose the best possible algorithms to nail complex problems
Ability to read and write assembly language for multiple processor architectures.
Knowledge or experience in compute architecture, operating systems, and compilers.
公司简要介绍：
公司名称:英伟达半导体技术服务（上海）有限公司
公司类型:外资（欧美）
公司介绍:NVIDIA（纳斯达克股票代码：NVDA）是一家人工智能计算公司。它在1999年发明的GPU激发了PC游戏市场的增长，重新定义了现代计算机显卡，并且对并行计算进行了革新。最近，通过将GPU作为可以感知和理解世界的计算机、机器人乃至自动驾驶汽车的大脑，GPU深度学习再度点燃了全新的计算时代——现代人工智能。
