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.
Skills Required
- MS or PhD degree in computer science or related field
- At least 3 years of relevant professional experience
- Experience in software testing and QA
- Rich experience in test case development and automation
- Proficient programming and debugging skills in C++ and Python
- Comprehensive knowledge of Linux and Windows operating systems
- Developer background with AI automation experience
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
