NVIDIASenior CUDA Test Development Software Engineer, SDET
NVIDIA is hiring a Senior CUDA Test Development Software Engineer, SDET in Shanghai, China. Level rates it ; you can apply on Level.
AI in this role
Senior CUDA test development engineer responsible for testing, automation, and leveraging AI tools for QA workflows.
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. We are now seeking a highly skilled and motivated Senior CUDA Test Development Software Engineer.
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.
How we rate this
Senior CUDA Test Development Software Engineer, SDET at NVIDIA rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used C hands-on?
- Walk me through how you've used Python in your day-to-day work.
- What are the limits of CUDA that you've run into, and how did you work around them?
- What's a project where you used Gcov hands-on?
- Walk me through how you've used Vectorcast in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: C, Python, CUDA, Gcov, and Vectorcast. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.
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