Senior CUDA Test Development Software Engineer

Posted:
9/5/2024, 5:21:04 AM

Location(s):
Shenzhen, Guangdong Province, China ⋅ Guangdong Province, China

Experience Level(s):
Senior

Field(s):
Software Engineering

NVIDIA is the world leader in GPU Computing. We are passionate about four markets: Gaming, Automotive, Enterprise Graphics, and HPC/Cloud Datacenters; in addition to our traditional OEM business. We are well positioned as the ‘AI Computing Company’, and our GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, big data, modern data centers, smart cities, and driving autonomous vehicles. We have some of the most brilliant and talented people in the world working for us. If you are talented, bright, driven and if working with smart technical people across countries sounds interesting, this job is for you. Our team is mainly focusing on CUDA automation testing, CUDA Safety, Mobile/Desktop CUDA release testing, and CUDA test development areas, and we are now looking for a Senior CUDA Test Development Software Engineer.

What you will be doing:

  • Design and implement functionality/performance tests for CUDA driver and Libraries.

  • Automate CUDA tests, design test plans and enable them in automation testing infrastructure.

  • Triage test results, root cause test failures or performance drops, and drive the bug to fix.

  • Develop scripts/tools and optimize workflow to improve efficiency and productivity.

What we need to see:

  • MS or PhD degree from a leading university in computer science or relevant.

  • 3 years of work experience at minimum.

  • Excellent QA sense, knowledge, and experience in software testing.

  • Excellent troubleshooting skills, logical thinking, and inference capability.

  • Rich experience in test case development, test automation, and failure analysis.

  • Strong programming and debugging skills with C/C++, and Python.

  • Strong Linux OS knowledge

Ways to stand out from the crowd:

  • Excellent English communication and collaboration skills.

  • Embedded platform development experience

  • Good understanding of CUDA, Gcov, Coverity, Supercomputer, HPC, etc.

NVIDIA

Website: https://www.nvidia.com/

Headquarter Location: Santa Clara, California, United States

Employee Count: 10001+

Year Founded: 1993

IPO Status: Public

Last Funding Type: Grant

Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality