深圳招聘

Job Description

    

We're on a fast-growing business line of NVIDIA enterprise products, and we want outstanding QA engineers to join us, as we see great opportunities ahead to be seized together with interesting engineering challenges yet to be conquered. We are now looking for a Senior CUDA Test Development Software Engineer. As a senior QA Engineer for NVIDIA SW group, you will be working under dynamic environment on different projects and ultimately responsible for compute software test planning, execution and reporting, you’ll drive product quality and deliver the best quality to customers.

    

    

What you’ll be doing:

    

Responsible for GPU compute testing.

    

Execute/debug existing automation tests.

    

Work closely with cross-functional teams to understand the test requirements and take ownership of product quality.

    

Implement API, integration and unit tests for CUDA driver and library

    

Automate CUDA tests and enable them in testing infrastructure

    

Triage test results, isolate test failures and improve test coverage

    

Handle bug lifecycle and co-work with inter-groups to contribute to solutions.

    

What we need to see:

    

BS or higher degree in CS/EE/CE or equivalent with 8+ years of work experience as QA and/or developers in test

    

Proficient programming and debugging skills with C/C++ are required

    

Proficient Linux experience is required

    

Rich experience in test cases development, tests automation and failure analysis

    

Good QA sense, knowledge and experience in software testing

    

Problem solving skills

    

Good communicator, both written and verbal in Chinese and English

    

Good team player with ability to work independently

    

Ways to stand out from the crowd:

    

PhD degree from a leading university in computer science or related is a strong plus

    

Experience working with NVIDIA GPU hardware is a strong plus

    

Experience in parallel programming ideally CUDA/OpenCL is a plus

    

Proficient programming skill in Python is a plus

关于 NVIDIA-人工智能计算领域的领导者
从游戏到人工智能计算, 实践证明,GPU 能够非常有效地解决计算机科学领域中一些极其复杂的问题。GPU 一开始用作模拟人类想象力的引擎，创造出视频游戏和好莱坞电影中令人惊叹的虚拟世界。如今，NVIDIA GPU 用于模拟人类智力，运行深度学习算法，并在能够感知和理解世界的计算机、机器人和自动驾驶汽车中发挥大脑的作用。NVIDIA 的“AI 计算公司”名头越来越为人所知。
这正是我们毕生的工作 - 增强人类的想象力和智力。