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Computer Graphics Engineer Jobs in Seattle, WA (NOW HIRING)

Nvidia

Senior AI Compiler Engineer, MLIR

Seattle, WA · On-site

$139K - $183K/yr

... computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ... NVIDIA is hiring a Senior AI Compiler Engineer. GPUs are driving rapid progress in deep learning ...

Nvidia

Senior DL Compiler Engineer -CUDA Tile

Redmond, WA · On-site

$137K - $180K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... We are hiring software engineers for the CUDA Tile team. NVIDIA GPUs are at the center of the deep ...

Nvidia

Senior AI and HPC Observability Engineer

Seattle, WA · On-site

$139K - $183K/yr

... in gaming, computer graphics, high-performance computing, and artificial intelligence. Our ... We are looking for a strong AI & HPC Observability Engineer to build and scale next-generation ...

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Computer Graphics Engineer information

See Seattle, WA salary details

$157.7K

$184.5K

$198.7K

How much do computer graphics engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for computer graphics engineer in Seattle, WA is $184,536.00, according to ZipRecruiter salary data. Most workers in this role earn between $159,400.00 and $197,000.00 per year, depending on experience, location, and employer.

What is a computer graphics engineer?

A Computer Graphics Engineer designs and develops algorithms, software, and hardware for rendering images, animations, and visual effects. They work with programming languages like C++, OpenGL, and Vulkan to optimize graphics performance for applications such as video games, simulations, and virtual reality. Their role involves problem-solving in areas like shading, rendering pipelines, and real-time graphics.

What are the typical day-to-day responsibilities of a computer graphics engineer?

As a Computer Graphics Engineer, your day-to-day responsibilities typically include designing, developing, and optimizing graphics algorithms for rendering engines, collaborating closely with artists and other engineers to integrate new visual features, and troubleshooting performance issues in real-time applications. You may also be involved in creating or extending tools for content creation, prototyping new visual effects, and staying updated with advancements in graphics technologies. Depending on the company, you might participate in code reviews, sprint planning, and cross-disciplinary meetings to ensure project goals and visual quality standards are met. This role offers a dynamic work environment, where creativity and technical problem-solving are both highly valued.

What are the key skills and qualifications needed to thrive in the computer graphics engineer position, and why are they important?

To thrive as a Computer Graphics Engineer, a strong background in computer science, mathematics, and expertise in graphics programming (such as OpenGL, DirectX, or Vulkan) is essential, often supported by a relevant degree. Familiarity with 3D modeling tools, real-time rendering engines, and version control systems is common, and professional certifications or coursework in graphics can be advantageous. Problem-solving abilities, attention to detail, and effective teamwork skills set standout candidates apart in collaborative engineering environments. These skills enable engineers to develop efficient, visually impressive graphics solutions while working seamlessly with interdisciplinary teams.

What are the most commonly searched types of Computer Graphics Engineer jobs in Seattle, WA?

The most popular types of Computer Graphics Engineer jobs in Seattle, WA are:

What are popular job titles related to Computer Graphics Engineer jobs in Seattle, WA?

For Computer Graphics Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Computer Graphics Engineer jobs in Seattle, WA look for?

The top searched job categories for Computer Graphics Engineer jobs in Seattle, WA are:

Computer Graphics Engineer jobs near you
Infographic showing various Computer Graphics Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 11% Internship, and 89% Full Time. Highlights an 100% In-person job distribution, with an average salary of $184,536 per year, or $88.7 per hour.

Senior Deep Learning and Computer Vision Engineer - Autonomous Vehicles

Nvidia

Seattle, WA

Full-time

Re-posted 19 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

We are looking for a Deep Learning and Computer Vision engineer for our Autonomous Vehicles team. The role involves applying state-of-the-art techniques to build ground truth for autonomous vehicles, a critical aspect of our next-generation products. You will have the opportunity to work with top researchers and engineers in the field of deep learning and computer vision to deliver impact to our customers around the world. Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer a science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. The era of AI has begun. NVIDIA's GPUs run Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and AI come together in our architecture. This may explain why.

NVIDIA GPUs are used broadly for Deep Learning, and NVIDIA is increasingly known as "the AI company". Make your choice to join us today. We are training Deep Neural Networks for NVIDIA's Autonomous Vehicles effort, with the goal to enable autonomous driving. We are seeking Deep Learning/Machine Learning interns who are passionate about solving problems in perception, prediction, planning and control for self-driving cars to achieve full autonomy. Are you interested in inventing human level AI for navigation in the unconstrained world under any conditions? If so, join us!

What you'll be doing:

  • Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas.

  • Foster collaborative partnerships with our researchers and engineers, transforming innovative research into robust, industrial-strength machine learning models.

  • Taking approaches from initial evaluation and experimentation all the way to shipping.

  • Defining and collecting training datasets.

  • Building training pipelines and real-time inference run-times (PyTorch, TensorFlow, TensorRT, Python, C++).

What we need to see:

  • PhD with 1+ year, or MS (or equivalent experience) with 5+ years, of relevant experiencein Computer Science, ComputerEngineering, or a related technical field.

  • Proven experience building robust software.

  • Passionate about Artificial Intelligence for robotics and autonomous navigation

  • Strive to learn new things and like solving hard problems

  • Math knowledge

  • Experience in Deep Learning / Machine Learning. You have a background in Computer vision and/or Planning/Control.

  • Programming and debugging skills in C++ and/or Python.

  • Good communication and analytical skills. Ability to work with multiple teams in a dynamic environment.

Ways to stand out from the crowd:

  • Background in applying latest AI methods to solve Computer Vision and Autonomous Vehicles problems

  • Experience with Unsupervised or Self-supervised Learning

  • Involvement with architecture optimization, pruning, curriculum & multi-task training

  • Experience fusing data from different sensor modalities (e.g. Images and LIDAR data) to enable information conflation, label propagation, cross training.

We believe that realizing self-driving cars will be a defining contribution of our generation. We have the funding and scale, but we need your help. NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, 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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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