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

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Or an MS degree with 6+ years or a PhD with 4+ years of experience are also eligible. * An ...

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... A Bachelor's, Master's or PhD in Software Engineering, Computer Science, Computer Engineering ...

Senior Software Engineer - NVIDIA Warp

Seattle, WA · On-site

$139K - $183K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... A BS, MS, or PhD in Computational Science and Engineering, Computational Physics, Electrical ...

Senior Compiler Engineer - AI

Redmond, WA

$137K - $180K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... What we need to see: * BS/MS/PhD in Computer Science or a related field (or equivalent experience ...

... PhD or Master's degree in Computer Science, Electrical Engineering, or a related field, or ... Advanced Micro Devices is a semiconductor company that designs and develops graphics units ...

Showing results 21-40

Computer Graphics Phd information

See Seattle, WA salary details

$6

$24

How much do computer graphics phd jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for computer graphics phd in Seattle, WA is $24.07, according to ZipRecruiter salary data. Most workers in this role earn between $24.09 and $24.09 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a computer graphics PhD, and why are they important?

To thrive as a Computer Graphics PhD, you need advanced knowledge in computer graphics theory, mathematics, programming, and typically a doctoral degree in computer science or a related field. Expertise in programming languages (such as C++, Python), graphics APIs (like OpenGL or DirectX), and experience with research publication are standard requirements. Creative problem-solving, collaboration, and strong communication skills help distinguish top researchers and innovators in this field. These skills are vital for advancing the state of the art, effectively sharing research findings, and contributing to interdisciplinary projects.

What can you do with a computer graphics PhD?

A computer graphics PhD prepares individuals for research, development, and teaching roles in academia, industry, or government. Graduates often work in areas such as visual effects, virtual reality, simulation, rendering, and algorithm development, utilizing tools like C++, OpenGL, and machine learning techniques.

What are the best PhD programs in computer graphics?

Top PhD programs in computer graphics are often found at universities with strong computer science and visual computing departments, such as Stanford University, MIT, Carnegie Mellon University, and the University of California, Berkeley. These programs typically offer research opportunities in rendering, animation, virtual reality, and related areas, and often require proficiency in programming languages like C++ and tools such as OpenGL or DirectX.

What are some common challenges faced by computer graphics PhD researchers when working in multidisciplinary teams?

Computer Graphics PhD researchers often collaborate with experts in fields like engineering, neuroscience, and design, which can present challenges in aligning technical language and expectations. Successfully bridging the gap between theoretical research and practical application requires strong communication skills and adaptability. Additionally, balancing the demands of publishing academic work with project-driven goals can be demanding, but these collaborations often lead to more innovative and impactful outcomes.

What is the difference between Computer Graphics Phd vs Computer Vision Engineer?

AspectComputer Graphics PhdComputer Vision Engineer
Required CredentialsPhD in Computer Graphics, related research experienceBachelor's or Master's in Computer Science, specialized in Computer Vision
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, startups, R&D teams
Industry UsageAnimation, visual effects, simulationImage recognition, autonomous vehicles, surveillance
Common Search/ComparisonYesYes

The main difference between a Computer Graphics Phd and a Computer Vision Engineer lies in their focus areas. Computer Graphics Phds typically engage in research related to visual rendering, animation, and simulation, often within academia or R&D labs. In contrast, Computer Vision Engineers apply algorithms to interpret visual data, working mainly in tech companies on applications like image recognition and autonomous systems. Both roles require strong technical skills, but their industry applications and research focus differ significantly.

What is a computer graphics PhD?

A Computer Graphics PhD is an advanced academic degree focused on the study and development of algorithms, systems, and techniques for generating and manipulating visual content using computers. This degree typically involves original research in areas such as rendering, animation, visualization, virtual reality, and human-computer interaction. Graduates often pursue careers in academia, research labs, or industry roles that require deep expertise in computer graphics and related fields.
What are popular job titles related to Computer Graphics Phd jobs in Seattle, WA? For Computer Graphics Phd jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Computer Graphics Phd jobs in Seattle, WA look for? The top searched job categories for Computer Graphics Phd jobs in Seattle, WA are:

Senior Security Architect - Hardware

Nvidia

Redmond, WA

Full-time

Re-posted 5 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 243 rated software companies


Job description

We are now looking for a Senior Security Architect! NVIDIA is seeking a technical leader interested in a chance to define, craft, and guide implementation of HW Root of Trust architecture for our pioneering SoCs and GPUs. You will be expected to take a strong hands-on role, working with diverse teams across both NVIDIA and external partners to meet HW Root of Trust requirements for our client, automotive, gaming and server platforms.

What you'll be doing:

  • Collaborate across the company to guide the direction of platform security and develop a long-term roadmap for a flexible HW Root of Trust solution that will be integrated into our products, working with hardware, software, research and marketing teams.

  • Research, design, and develop architecture solutions meeting internal and external security requirements and standards.

  • Review architectural, microarchitectural and verification specifications published by internal teams to ensure all IPs align with platform security requirements.

  • Work with customers, partners to identify and address security issues and threats.

What we need to see:

  • BS, MS, PhD (or equivalent experience) in Electrical Engineering, Computer Science or Computer Engineering.

  • 8+ years of meaningful relevant work or research experience.

  • Experience with the ASIC design process and architecture of large SoCs or GPUs.

  • Programming and debugging fundamentals across languages such as: C/C++, Verilog, ARM assembly and Python/Perl scripting

  • The ability to work in a dynamic customer focused team and strong communication skills are required.

  • You have directly worked on several of the following:

    • System architecture for mobile, automotive, gaming or server platforms

    • SoC security architecture and security fundamentals including secure boot, measured boot and HW root of trust

    • ARM or RISCV CPU architectures and related security functionality

    • Cryptography: algorithms, standards, implementation and application

    • Security mitigations against physical attacks including fault injection and side channel attacks

    • Remote attestation mechanisms based on TPM or other solutions

    • Digital Rights Management (DRM) standards

    • Security threat modelling and penetration testing

    • Certification standards and compliance testing

NVIDIA is widely considered to be one of the technology world's most desirable employers. Our invention of the GPU in 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". We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous architect with a genuine passion for advancing innovative security features into silicon? 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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 11, 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