NVIDIA: Senior Software QA Test Development Engineer

For over 30 years, NVIDIA has been at the forefront of computer graphics, accelerated computing, and AI innovation. Our technology fuels everything from cutting-edge games and film production to self-driving cars and AI-powered healthcare. We're redefining industries—and we're just getting started.

As a member of our diverse and talented team, you'll be immersed in a collaborative, mission-driven culture with opportunities to shape the future of technology. If you're passionate about building data-driven QA systems, improving user experience, and pushing the boundaries of AI and gaming, this opportunity is for you.

🧠 What You’ll Be Doing

• Generative AI QA & Prompt Design:
  Evaluate outputs of AI-generated images and videos using structured prompts and key metrics like realism, coherence, and safety.

• QA Automation & Tooling:
  Build and maintain scalable, Python-based automation frameworks and CI/CD integrations to enhance QA workflows and coverage.

• Graphics & Gaming Validation:
  Design and execute thorough test plans focused on leading PC games, leveraging NVIDIA-specific features such as DLSS, G-SYNC, and other GPU-powered enhancements.

✅ What We’re Looking For

• Education:
  B.E./B.Tech in Computer Science, Information Technology, or Electronics Engineering.

• Experience:

  • 5+ years of hands-on software QA experience

  • Strong in Python, C++, or C# with a solid foundation in OOP (Object-Oriented Programming)

  • Experience with test automation tools (e.g., Selenium), Git, and CI/CD pipelines

  • Solid understanding of Windows OS, PC gaming ecosystems, and hardware/software interactions

  • Experience mentoring QA teams or leading structured QA efforts

  • Strong communication, problem-solving, and documentation skills

• AI & ML Familiarity:

  • Exposure to Generative AI models (e.g., DALL·E, Sora, Stable Diffusion)

  • Experience in Prompt Engineering, AI model testing, and evaluating hallucinations, relevance, and bias/safety in outputs

⭐ Nice to Have / Ways to Stand Out

• Designed AI model evaluation protocols for image/video generation

• Familiar with tools like PyTorch, OpenCV, PIL, NumPy, Transformers

• Strong grasp of computer vision, image quality, and human perception modeling

• Experience testing NVIDIA-specific GPU technologies like DLSS, PhysX, G-SYNC

• Proven ability to solve complex QA problems creatively and efficiently

🧑‍💼 Why Join NVIDIA?

• Work at the cutting edge of AI, graphics, and gaming technology

• Be part of a global leader with competitive pay, performance bonuses, stock options, and world-class benefits

• A culture that fosters innovation, inclusion, and excellence

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