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Research Computer Graphics Jobs (NOW HIRING)

Pixar

Research Scientist

Emeryville, CA · On-site

$162K - $210K/yr

Conduct world-class research in computer graphics and AI to develop innovative solutions for Pixar and Disney film productions. This role bridges the gap between academic research and practical ...

Pixar Animation Studios

Research Scientist

Emeryville, CA · On-site

$162K - $210K/yr

Conduct world-class research in computer graphics and AI to develop innovative solutions for Pixar and Disney film productions. This role bridges the gap between academic research and practical ...

Adapt Talent

TLM - Computer Vision

Mountain View, CA · On-site

$21.25 - $28.50/hr

We focus on conducting cutting-edge research and development in the area of Computer Graphics, Computer Vision, Augmented Reality and Deep Learning, and continuously transfer innovative technologies ...

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Research Computer Graphics information

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How much do research computer graphics jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for research computer graphics in the United States is $21.15, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $21.15 per hour, depending on experience, location, and employer.

What is the difference between Research Computer Graphics vs Computer Graphics Engineer?

AspectResearch Computer GraphicsComputer Graphics Engineer
Required CredentialsMaster's or PhD in Computer Science, Graphics, or related fieldBachelor's or Master's in Computer Science, Graphics, or related field
Work EnvironmentAcademic or R&D labs, research institutionsTech companies, software firms, or entertainment industry
Employer & Industry UsageUniversities, research labs, industry R&DProduct development, software engineering, multimedia
Common Search & ComparisonYesNo

Research Computer Graphics focuses on advancing theoretical and experimental aspects of graphics, often in academic or research settings. In contrast, Computer Graphics Engineers apply existing techniques to develop practical applications, software, or products. Both roles require strong technical skills, but their goals and environments differ significantly.

Infographic showing various Research Computer Graphics job openings in the United States as of May 2026, with employment types broken down into 5% As Needed, 10% Full Time, 80% Part Time, and 5% Temporary. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $44,000 per year, or $21.2 per hour.
Research Scientist, AI for Graphics and Gaming - New College Grad 2026

Research Scientist, AI for Graphics and Gaming - New College Grad 2026

Nvidia

Santa Clara, CA

Full-time

Posted 7 days ago

Job description

We are now seeking a Research Scientist in Generative AI for Graphics and Gaming!NVIDIA is seeking world-class deep learning researchers to build the next generation of AI for graphics and gaming-from neural rendering and real-time image/video generation to world models, AI-driven characters, and LLM-powered game experiences. Join our Applied Deep Learning Research team, renowned for revolutionizing real-time graphics with powerful AI technologies like DLSS. You'll have access to abundant GPU compute to explore ambitious ideas and train large models at scale.


We prioritize step-change research that delivers undeniable user experience improvements, not incremental benchmark gains. You'll work across multiple organizations at NVIDIA to drive fundamental AI research all the way into shipping products used by millions of players. Our team pushes the limits of real-time graphics and interactive storytelling experiences using the latest advances in AI. If you're passionate about deep learning, real-time graphics, and delivering transformative technology directly into games and graphics applications, you'll be a great fit. In this role, you will conduct cutting-edge research, train advanced models, prototype in real-time engines, and work with product, driver, and hardware teams to bring your ideas to market.
What you'll be doing:

  • Research and develop AI models that improve real-time graphics quality, robustness, performance, and latency, and enable new interactive experiences such as world models, LLM-driven gameplay, and AI-driven characters.

  • Design and run large-scale pre-training and post-training for foundation models for graphics and gaming, using NVIDIA's GPU infrastructure for experimentation and iteration.

  • Build and own data pipelines and datasets for foundation models and large-scale training, spanning synthetic data, in-engine captures, and real-world content.

  • Develop and prototype models for real-time image, video, and 3D content generation in modern game engines and graphics frameworks, and create demos that clearly showcase player-visible benefits.

  • Stay current on AI and graphics research and work with product, driver, hardware, engine, and platform teams to turn promising ideas into shipping, user-visible features.


What we need to see:

  • Pursuing PhD in Computer Science/Engineering, Electrical Engineering, Applied Mathematics, or a related field (or equivalent experience).

  • Deep learning experience in image/video generation, graphics, computer vision, or related fields, with a solid understanding of core DL fundamentals.

  • Hands-on experience training large models on multi-GPU clusters (hundreds to thousands of GPUs), building robust distributed training pipelines and debugging at scale, with strong proficiency in PyTorch required; familiarity with GPU architecture, CUDA abstractions, and efficiency techniques (e.g., distillation, pruning, low-precision training/inference) is a plus.

  • Background in graphics-such as rendering pipelines or game engines-and experience with generative models, neural rendering, or reconstruction is a plus.

  • Proven track record of impactful research and shipped ideas (e.g., leading publications, production features, or widely used tools), and strong communication and collaboration skills in cross-functional teams.

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company". Do you love the challenge of pushing what's possible in realtime interactive graphics and Generative AI? If so, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 31, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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