Used Tools & Technologies
Not specified
Required Skills & Competences ?
Python @ 4 CI/CD @ 4 Leadership @ 4 Communication @ 7 Git @ 4 Mentoring @ 4 Selenium @ 4 QA @ 4 PyTorch @ 4 GPU @ 7Details
NVIDIA is a leading innovator in computer graphics and accelerated computing, now advancing AI technologies. Join a diverse and supportive environment committed to groundbreaking innovation.
Responsibilities
- QA & Prompt Design for Generative AI: Evaluate image/video outputs from generative AI models using test prompts and quality metrics such as 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 detailed test plans for NVIDIA application software, focusing on PC games and improving visual quality, performance, compatibility, and user experience in real gaming environments.
Requirements
- B.E./B. Tech degree in Computer Science/IT/Electronics engineering or equivalent experience with strong academics.
- 5+ years programming experience in Python, C#, and C++ with Object-Oriented Programming proficiency.
- Automation experience with test tools such as Selenium, Git, and CI/CD pipelines.
- Deep understanding of PC gaming, GPU features, and Windows system testing; expertise in hardware/software interactions.
- Strong communication and partnership skills in hybrid, cross-functional teams.
- QA leadership experience mentoring teams or leading structured test planning.
- Hands-on experience in generative AI QA with image/video models (e.g., Sora, DALLE, Stable Diffusion) including prompt engineering and evaluation of hallucination, relevance, and safety.
Preferred Qualifications
- Advanced AI evaluation skills designing protocols for diffusion/video models with structured prompt testing and perceptual metrics.
- Background in computer vision, image/video quality, human perception, and AI content alignment.
- Experience with Python ML libraries: PyTorch, OpenCV, PIL, Transformers, NumPy.
- Familiarity with NVIDIA GPU and graphics technologies (DLSS, G-SYNC, PhysX), drivers, and visual quality benchmarks.
- Strong problem-solving aptitude with a creative approach to complex QA challenges.
Benefits
Competitive salaries and a generous benefits package. NVIDIA values diversity and is an equal opportunity employer committed to reasonable accommodations for individuals with disabilities.