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