Senior CUDA Test Development Software Engineer, SDET at NVIDIA

Shanghai, Shanghai, China -

Full Time

Start Date

Immediate

Expiry Date

03 Jun, 26

Salary

0.0

Posted On

05 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

CUDA, C++, Python, Linux, Windows, Test Automation, Failure Analysis, Functional Testing, Performance Testing, Driver Development, Library Testing, AI Tools, Debugging, QA Workflow

Industry

Computer Hardware Manufacturing

Description

NVIDIA is the world leader in GPU Computing. We are passionate about markets including Data centers, Gaming, Professional vision, Automotive, HPC and networking. 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. We are CUDA Test Development team, responsible for all aspects of quality assurance, including regression testing, release testing, test automation, and test development. We ensure the highest quality standards for every CUDA product. What you will be doing: Design and implement functional/performance tests for CUDA products, like driver and library. Automate CUDA tests, design test plans and integrate into automation testing infrastructure. Triage test results, root cause test failures or performance drops, and drive through bugs 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 a related field. At least 3 years of relevant professional experience. Excellent QA sense, knowledge, and experience in software testing. Rich experience in test case development, tests automation and failure analysis. Proficient programming and debugging skills in C++ and Python. Comprehensive knowledge of Linux and Windows operating systems. Developer background who has experience of using AI tools to automate and develop test cases, fix product bugs, develop QA end-to-end workflow. Ways to stand out from the crowd: Excellent English communication and collaboration skills. Deep understanding of CUDA, HPC, Gcov, VectorCAST, Coverity. 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

The role involves designing and implementing functional and performance tests for CUDA products, such as drivers and libraries, and automating these tests within the existing infrastructure. Responsibilities also include triaging results, root cause analysis of failures, and developing tools to improve workflow efficiency.