NVIDIA is the world leader in GPU Computing. We are passionate about markets include gaming, automotive, professional vision, HPC, datacenters and networking in addition to our traditional OEM business. NVIDIA is also well positioned as the ‘AI Computing Company’, and NVIDIA GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We have some of the most experienced and dedicated people in the world working for us. If you are dedicated, forward-thinking, and if working with hard-working technical people across countries sounds exciting, this job is for you.
We are now looking for a Software QA Development Engineer; you will collaborate with multi-functional groups. SWQA Developer Engineer at NVIDIA is responsible for test planning, execution, and reporting, you will also write scripts to automate testing, design and develop tools for QA team, or develop integration tests for validation, so QA Engineer can improve productivity or optimize test plan. As a SWQA Developer, you must identify weak spots and constantly design better and creative test plans to break software and identify potential issues. You will have a huge impact on the quality of NVIDIA's products.
What you’ll be doing:
Review product requirements and develop test matrix.
Build test plan, design test case, execute and report test progress, bugs, and results to management.
Automate test cases and assist in the architecture, crafting and implementing of test frameworks.
Manage bug lifecycle and co-work with inter-groups to drive for solutions.
In-house repro and verify customer issues/fixes.
What we need to see:
BS or higher degree or equivalent experience in CS/EE/CE plus equivalent with 5+ years QA experience.
Proficient in Unix/Linux and shell/python programming skills.
Rich experience in test cases development, tests automation in API/UI and failure analysis.
Solid experience with AI development tools, including creating test cases, automating test cases, and ensuring comprehensive code coverage, among other related tasks
Good knowledge and hands-on experience in model testing and LLM benchmarking
Good QA sense including attention to detail, problem-solving, data analysis, quality standards knowledge, time management etc.
Excellent communicator, fluent written and verbal English.
Good teamwork with ability to work independently. Passion to learn new hardcore technology.
Ways to stand out from the crowd:
Experience working with NVIDIA GPU hardware is a strong plus
Background in deep learning frameworks is a plus
Experience in parallel programming ideally CUDA/OpenCL is a plus
Skills Required
- Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering or equivalent experience
- 5+ years of QA / software testing experience
- Proficiency with Unix/Linux
- Shell scripting experience
- Python programming skills
- Experience developing test cases and test automation for API and UI
- Failure analysis and debugging experience
- Experience with AI development tools and ensuring code/test coverage
- Hands-on experience in model testing and LLM benchmarking
- Strong QA mindset: attention to detail, problem-solving, data analysis, time management
- Excellent written and verbal English communication
- Ability to work in a team and independently; eagerness to learn new technologies
- Experience working with NVIDIA GPU hardware
- Background in deep learning frameworks
- Experience with parallel programming (CUDA/OpenCL)
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.
-
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.
-
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.
-
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.”
