Senior Machine Learning Graphics Engineer, AI for Experiences

at Nvidia

📍 Santa Clara, United States

USD 224,000-431,200 per year

SENIOR

✅ On-site

Used Tools & Technologies

GPU GenAI

Required Skills & Competences
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.

Python @ 4 Machine Learning @ 4 TensorFlow @ 4 HTTP @ 4 PyTorch @ 4 CUDA @ 4 Deep Learning @ 4 Generative AI @ 4 AI @ 4 Computer Vision @ 4

Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, NVIDIA is applying AI to define the next era of computing where GPUs act as the brains of computers, robots, and self-driving cars that can understand the world. This role is on the neural graphics product team focused on generative AI, gaming, augmented reality, user-generated content, computer vision, and related applications with the goal of improving visual fidelity, gameplay, and pro-visualization products. You will productize research, develop new features, and work across teams to deliver real products.

Responsibilities

Use AI to solve 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 and accelerate productization.
Keep up with the latest AI/deep learning research and collaborate with diverse teams, including AI/DL researchers, hardware architects, and software engineers.
Participate in technology transfers to and from teams across NVIDIA.

Requirements

Master's degree in computer science/engineering, Machine Learning, AI, or 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, computer vision, 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 required.
Proven track record of delivering complex products and technologies spanning multiple teams and functional areas.

Compensation & Benefits

Base salary range: 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
Eligible for equity and benefits. See https://www.nvidia.com/en-us/benefits/ and http://www.nvidiabenefits.com

Additional information

Applications for this job will be accepted at least until July 20, 2026.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is an equal opportunity employer and committed to fostering an inclusive work environment.