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Computer Graphics Technology Internship Jobs in Renton, WA

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 ... Experience with compiler technologies such as MLIR, XLA, and LLVM. * Excellent C/C++ and Python ...

Nvidia

Senior Deep Learning Compiler Engineer - XLA

Redmond, WA · On-site

$117K - $160K/yr

... computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ... Experience with the following technologies is a huge plus: XLA, TVM, MLIR, LLVM, OpenAI Triton ...

Nvidia

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, w ...

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How much do computer graphics technology internship jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for computer graphics technology internship in Renton, WA is $14.64, according to ZipRecruiter salary data. Most workers in this role earn between $12.98 and $16.20 per hour, depending on experience, location, and employer.

What is the difference between Computer Graphics Technology Internship vs Computer Graphics Designer?

AspectComputer Graphics Technology InternshipComputer Graphics Designer
Required CredentialsEnrolled in or recent graduate of computer graphics, animation, or related programsBachelor's degree in graphic design, visual arts, or related field often preferred
Work EnvironmentInternship setting, often in tech or media companies, with mentorshipDesign studios, advertising agencies, or in-house creative teams
Employer & Industry UsageUsed by companies to train and evaluate potential full-time employees in tech and media industriesUsed by creative agencies, media firms, and entertainment companies for visual content creation

The Computer Graphics Technology Internship provides hands-on experience and training in computer graphics within a professional setting, often serving as a stepping stone to a full-time role. In contrast, a Computer Graphics Designer focuses on creating visual content and may require more advanced skills and a portfolio. Both roles are integral to the digital media industry but differ mainly in experience level and employment status.

What are popular job titles related to Computer Graphics Technology Internship jobs in Renton, WA? For Computer Graphics Technology Internship jobs in Renton, WA, the most frequently searched job titles are:
What job categories do people searching Computer Graphics Technology Internship jobs in Renton, WA look for? The top searched job categories for Computer Graphics Technology Internship jobs in Renton, WA are:
What cities near Renton, WA are hiring for Computer Graphics Technology Internship jobs? Cities near Renton, WA with the most Computer Graphics Technology Internship job openings:
Computer Graphics Technology Internship jobs near you
Senior Deep Learning and Computer Vision Engineer - Autonomous Vehicles

Senior Deep Learning and Computer Vision Engineer - Autonomous Vehicles

Nvidia

Redmond, WA • On-site

Full-time

Posted 7 days ago

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 March 21, 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.
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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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