Job
Description
NVIDIA has been redefining computer graphics and accelerated computing for 30 years. Hiring the most creative minds and making sure that groundbreaking innovations can be accelerated through NVIDIAs platform have been key to this outstanding legacy of technological innovation. Today, we re tapping into the unlimited potential of AI to define the next era of computing. Doing what s never been done before takes vision, innovation, and the world s best talent. As an NVIDIAN, you ll be immersed in a diverse, supportive environment where everyone is encouraged to do their best work and make a lasting impact on the world! Are you passionate about inspiring change, building data-driven tools to improve software quality, and ensuring customers have the best experienceIf so, we have a phenomenal opportunity for you! NVIDIA is seeking a creative and hands-on software engineer with a test-to-failure approach who is a quick learner, can understand software and hardware specifications, and build reliable tests and tools in C++/C#/Python to improve quality and accelerate the delivery of NVIDIA products. What you will be doing: QA Prompt Design for Generative AI: Evaluate image/video outputs from generative AI models using thoughtful test prompts and clear quality metrics like realism, coherence, and safety. Automation Tooling: Build and maintain Python-based tools, automation frameworks, and CI/CD test integrations to streamline QA workflows and improve test coverage. Graphics and Gaming Validation: Develop and implement detailed test plans for NVIDIA application software, which includes testing leading PC games. Emphasize NVIDIA features that improve visual quality, performance, compatibility, and overall user experience in authentic gaming environments. What we need to see: B. E. /B. Tech degree in Computer Science/IT/Electronics engineering with strong academics or equivalent experience 5+ years of programming experience in Python/C#/C++ with experience in applying Object-Oriented Programming concepts Automation Expertise: Practical experience with test automation tools (e. g. , Selenium), Git, and integration into CI/CD pipelines. Gaming Hardware Knowledge: Deep understanding of PC gaming, GPU features, and testing on Windows systems; experienced with solving hardware/software interactions. Communication Partnership: Strong critical thinking, clear documentation, and partnership in hybrid, multi-functional environments. QA Leadership: Experience mentoring QA teams or leading structured test planning efforts. Generative AI QA Experience: Hands-on testing or usage of image/video models (e. g. , Sora, DALLE, Stable Diffusion), with Prompt engineering and evaluation of hallucination, relevance, and safety. Ways to stand out from the crowd: Deep AI Evaluation Skills: Designed evaluation protocols for diffusion/video models using structured Prompt testing and perceptual metrics. Computer Vision Background: Strong understanding of image/video quality, human perception, and content alignment in AI outputs. Python ML Libraries: Hands-on experience with AI/ML libraries like PyTorch, OpenCV, PIL, Transformers, and NumPy. GPU Graphics Expertise: Familiarity with NVIDIA technologies (DLSS, G-SYNC, PhysX, or equivalent experience), display drivers, and PC visual quality benchmarks. Proactive Problem Solver: Known for creatively identifying root causes in sophisticated QA issues and working to improve processes. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world s most desirable employers. Due to outstanding growth, our elite engineering teams are rapidly growing. If youre creative with a real passion for technology, we want to hear from you. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform crucial job functions, and receive other benefits and privileges of employment.
