Senior CUDA Test Development Software Engineer, SDET at NVIDIA

Shanghai, Shanghai, China -

Full Time

Start Date

Immediate

Expiry Date

13 Apr, 26

Salary

0.0

Posted On

13 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

CUDA, Software Testing, Test Automation, Troubleshooting, C/C++, Python, Linux, Windows, AI Development Tools, Test Case Development, Performance Testing, Automation Testing, Failure Analysis, Logical Thinking, Embedded Platform Development, HPC

Industry

Computer Hardware Manufacturing

Description

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. At least 3 years of relevant professional experience. 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. Proficient programming and debugging skills in C/C++ and Python. Comprehensive knowledge of Linux and Windows operating systems. Experience in using AI development tools for test plans creation, test cases development and test cases automation. 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 is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

Design and implement functionality and performance tests for CUDA driver and libraries. Automate CUDA tests, design test plans, and enable them in the automation testing infrastructure.