NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to tackle, that only we can address, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence.
As an engineer of our Software Quality Assurance (QA) team, you will orchestrate the process of Software Quality for our CAD tools and flows. We develop and support flows for all of NVIDIA's semiconductor products. In addition, the CAD group also develops in-house tools in the area of Design for Test (DFT) using C++, Python, and TCL. You will work on infrastructure and software used to test our complex semiconductor devices. Below are some of the CAD teams' activities. We are a diverse team, looking for someone who is not afraid of a challenge. If this is you, come join us today.
What you will be doing:
Providing hardware, software, and lab support for testing and validation processes.
Architecting highly automated and customizable Software Quality processes for design flows using software engineering with modular design and object-oriented techniques.
Crafting feature test plans, identifying, and writing test cases based on user requirements, and providing automation of testing.
Maintaining regression testing frameworks and developing test reporting mechanisms
Performing code reviews, static analysis, and dynamic testing.
Continuously delivering high-quality, bug-free Software Applications.
Working closely with our diverse team members on flows to provide DFT and methodologies for industry-leading chip designs.
Supporting the development of tools using C++/Python/TCL.
Working cross-functionally with DFT Methodology, Implementation, and design teams with important DFT tools support.
What we need to see:
A BS or MS in Electrical Engineering, Computer Science, or Computer Engineering with at least 2+ years of relevant work experience in Software QA role.
Knowledge of different software testing techniques, code reviews, code coverage, unit and flow testing, use case testing, random, white, and black box testing.
Experience with test management tools such as TestRail or Zephyr.
Familiarity with CI/CD tools like Jenkins and GitLab.
Strong GenAI, LLM, AI Code Generation skills desirable.
Good software design, algorithms, programming and scripting skills in Python
Good C++ Debug Skills
Experience with defect tracking tools such as JIRA.
Experience in providing lab software and hardware
Ways to stand out from the crowd:
Knowledge or experience with DFT is a plus.
Knowledge of BDD processes is desirable.
Verilog and ASIC design principles, including knowledge of logic cells is a plus.
experience CUDA
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, we want to hear from you!
#LI-Hybrid
Skills Required
- BS or MS in Electrical Engineering, Computer Science, or Computer Engineering
- 2+ years of relevant work experience in Software QA role
- Knowledge of different software testing techniques
- Experience with test management tools such as TestRail or Zephyr
- Familiarity with CI/CD tools like Jenkins and GitLab
- Good software design, algorithms, programming and scripting skills in Python
- Good C++ Debug Skills
- Experience with defect tracking tools such as JIRA
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.”
