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

Nvidia

Senior Software Engineer - Storage

Redmond, WA

$137K - $180K/yr

... in gaming, computer graphics, high-performance computing, and artificial intelligence. Our ... Graduate degree (MS/PhD or equivalent experience) in Computer Science, Distributed Systems, or a ...

Nvidia

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 ...

NVIDIA

Senior Engineer - AI Agents and Systems

Redmond, WA · On-site

$117K - $160K/yr

... PhD in Computer Science, Computer Engineering, or a related technical field (or equivalent ... NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

NVIDIA

Distinguished Engineer - Dynamo

Seattle, WA · On-site

Required : • BS, MS, PhD, or equivalent experience in Computer Science, Computer Engineering ... NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

AMD

Fellow, AI Workload Optimization

Bellevue, WA · On-site

... 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 ...

NVIDIA

Senior Engineer - AI Agents and Systems

Redmond, WA · On-site

$117K - $160K/yr

... PhD in Computer Science, Computer Engineering, or a related technical field (or equivalent ... NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

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Computer Graphics Phd information

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How much do computer graphics phd jobs pay per hour?

As of Jul 9, 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 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:
Computer Graphics Phd jobs near you
Research Scientist, Robotics Research - PhD New College Grad 2026

Research Scientist, Robotics Research - PhD New College Grad 2026

NVIDIA

Seattle, WA • On-site

Full-time

Re-posted 24 days ago

Job description

Job Summary:
NVIDIA is at the forefront of the AI and robotics revolution, and they are seeking Research Scientists to join their Seattle Robotics Lab. The role involves developing algorithms and methods for robotic manipulation, integrating these into real-world systems, and collaborating with product teams to transfer research into impactful products.
Responsibilities:
• Developing algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications;
• Integrating these methods into real-world robotic manipulation systems, including those consisting of collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands;
• Contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack;
• Engaging with the academic community through high-impact publications, conferences, workshops, and code releases;
• Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact;
• Mentoring interns joining NVIDIA during their PhD programs.
Qualifications:
Required:
• Completing a PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience).
• A strong research track record, with work published in top robotics and AI conferences and journals such as RSS, CoRL, ICRA, IROS, IJRR, T-RO, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and EMNLP.
• Exceptional programming skills in Python, as well as proficiency in modern deep learning frameworks (PyTorch or JAX), robotics frameworks (ROS or ROS2), and physics simulation frameworks (Isaac Sim/Lab or MuJoCo). Familiarity with C++, CUDA, and Warp is a plus.
• Exceptional communication, collaboration, and interpersonal skills, with significant experience working on teams.
• Comfort in working through the complexities of simulation and real-world robotics, including debugging physics simulators and renderers under rapid development; selecting, setting up, maintaining, and enhancing complex robotics hardware; debugging real-world communication systems; and designing robust workflows for model training and evaluation.
Preferred:
• Bimanual and dexterous manipulation
• Mobile manipulation and humanoid loco-manipulation
• Multisensory perception (e.g., vision, tactile, and force/torque sensing)
• Simulation, sim-to-real, and real-to-sim
• Vision-language-action (VLA) models, including architectural advancements, large-scale training, and test-time reasoning
• Industrial applications, such as bin-picking, kitting, and assembly
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
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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