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Senior Machine Learning Graphics Engineer, AI for Experiences
NVIDIASenior Machine Learning Graphics Engineer at NVIDIA developing AI solutions for gaming and interactive experiences. Collaborating with diverse teams on cutting-edge AI research and productization.
Posted 7/16/2026full-timeSanta Clara • California, North Carolina • 🇺🇸 United StatesSenior💰 $224,000 - $431,250 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Machine Learning and Deep Learning, with a strong focus on real-time computer graphics and game development. Proven ability to collaborate across diverse teams and deliver complex AI-driven products.
Highest-signal resume keywords
Machine Learning ResearchDeep Learning ExpertisePython ProgrammingTensorFlow FrameworkReal-Time Computer Graphics
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningDeep LearningProgramming in PythonProgramming in C++CUDA ProgrammingTensorFlowPyTorchPrototypingAI Application DevelopmentComplex Product Delivery
Soft Skills
CollaborationCommunicationProblem SolvingTeamworkAdaptability
Certifications & Qualifications
Master's in Computer ScienceMaster's in EngineeringMaster's in AI
Industry Keywords
GamingInteractive ExperiencesNeural GraphicsComputer VisionTechnology Transfer
Tech Stack
Tools & technologiesPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Use AI for solving product problems in gaming and other interactive experiences.
- Build upon the latest research to create new models and invent new ways of applying AI to advance neural graphics and gaming.
- Create prototypes to demonstrate real-life applications of your ideas and to accelerate productization.
- Keep up with the latest AI/DL research and collaborate with diverse teams (both internal and external to NVIDIA), including AI/DL researchers, hardware architects, and software engineers.
- Participate in technology transfers to and from teams across NVIDIA.
Requirements
What you’ll need- Master's in computer science/engineering, Machine Learning, AI, and related fields (or equivalent experience)
- 12+ years of machine learning / deep learning research or work experience
- Knowledge of application areas such as real-time computer graphics, CV, and game development.
- Expertise with programming systems such as Python, C+, CUDA, and deep learning frameworks such as TensorFlow and PyTorch.
- Very strong programming skills.
- A proven track record of delivering complex products and technologies spanning multiple teams and functional areas.
Benefits
Comp & perks- highly competitive salaries
- comprehensive benefits package
- eligible for equity