Senior Machine Learning Graphics Engineer, AI for Experiences
at Nvidia
USD 224,000-431,200 per year
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
CUDA @ 6
Computer Vision @ 4
Deep Learning @ 7
GenAI
Generative AI @ 4
Machine Learning @ 4
PyTorch @ 6
Python @ 6
TensorFlow @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is seeking a machine learning and graphics engineer to join its neural graphics product team. The team applies generative AI, gaming, augmented reality, user-generated content, computer vision, and related technologies to improve visual fidelity, gameplay, and other interactive experiences in gaming and professional visualization. The role involves productizing research and developing new features in collaboration with teams across NVIDIA.
Responsibilities
- Use AI to solve product problems in gaming and other interactive experiences.
- Build upon the latest research to create new models and develop new applications of AI for neural graphics and gaming.
- Create prototypes demonstrating real-world applications and accelerating productization.
- Follow the latest AI and deep learning research.
- Collaborate with internal and external teams, including AI and deep learning researchers, hardware architects, and software engineers.
- Participate in technology transfers to and from teams across NVIDIA.
Requirements
- Master's degree in computer science, computer engineering, machine learning, artificial intelligence, or a related field, or equivalent experience.
- 12 or more years of machine learning or deep learning research or work experience.
- Knowledge of application areas such as real-time computer graphics, computer vision, and game development.
- Expertise with Python, C++, CUDA, and deep learning frameworks such as TensorFlow and PyTorch.
- Very strong programming skills.
- Proven track record of delivering complex products and technologies spanning multiple teams and functional areas.
Benefits
- Competitive salary.
- Equity.
- Comprehensive benefits package.
- NVIDIA is an equal opportunity employer committed to an inclusive work environment.
The base salary range is $224,000–$356,500 for Level 5 and $272,000–$431,250 for Level 6, depending on location, experience, and compensation for similar positions. Applications will be accepted at least until July 20, 2026.
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