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

... audio, graphics, brain-computer interface, haptic interaction, eye/hand/face/body tracking ... PhD or Masters in Physics, Chemistry, Optical Science and Engineering, Electrical Engineering, or ...

... audio, graphics, brain-computer interface, haptic interaction, eye/hand/face/body tracking ... PhD or Masters in Physics, Chemistry, Optical Science and Engineering, Electrical Engineering, or ...

Solutions Architect, AI and ML

Redmond, WA · On-site

$70.50 - $93/hr

... MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other ... NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

Solutions Architect, AI and ML

Seattle, WA · On-site

$71.75 - $94.50/hr

... MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other ... NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

Solutions Architect, AI and ML

Redmond, WA · On-site

$70.50 - $93/hr

... MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other ... NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

Solutions Architect, AI and ML

Seattle, WA · On-site

$71.75 - $94.50/hr

... MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other ... NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

Master of Science or PhD in Electrical Engineering or Computer Engineering. * Experience managing ... Graphics or Cadence. On-site work will involve hands-on use of lab equipment, including ...

Sr. Electrical Design Engineer IV

Kirkland, WA · Hybrid

$118K - $159K/yr

Master of Science or PhD in Electrical Engineering or Computer Engineering. * Experience managing ... Graphics or Cadence. On-site work will involve hands-on use of lab equipment, including ...

... PhD with 2+ years of experience * 3+ years of relevant video software engineering experience in ... computer vision, video/image codecs, or video/image processing * Expertise in camera, graphics and ...

Senior Research Software Engineer

Redmond, WA · On-site

$229K/yr

... graphics, systems and networks, and more. You will also be able to contribute to the shape our ... Master's Degree and/or PhD in Computer Science or related technical field AND 7+ years technical ...

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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:
Principal Software Engineer - Networking Hyperscale Engineering

Principal Software Engineer - Networking Hyperscale Engineering

NVIDIA

Seattle, WA • On-site

$153K - $206K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
NVIDIA is looking for an experienced Principal Software Engineer to expand the US-based Networking Hyperscale Engineering Team. In this role, you will co-develop software that powers AI superclusters and influence NVIDIA’s NIC software roadmap, working closely with top-tier cloud and AI customers.
Responsibilities:
• Co-developing NIC software and communication paths with strategic, top-tier customers to enable and scale large AI superclusters.
• Designing and implementing high‑performance C/C++ components on Linux using DPDK, kernel-bypass techniques, and RDMA/RoCE.
• Developing and integrating kernel, driver, and NIC firmware features to improve throughput, latency, and reliability for AI workloads.
• Working closely with NCCL and distributed training teams to tune end-to-end collectives performance over NVIDIA networking at scale.
• Owning complex performance and functionality debug with customers and representing the team in cross-org architecture discussions.
Qualifications:
Required:
• 15+ years overall experience in a similar or related systems / networking software role.
• A Bachelor’s, Master’s or PhD in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering, or a related field (or equivalent experience).
• Deep C/C++ expertise, strong Linux systems knowledge, and hands-on experience with kernel networking / RDMA / NIC drivers or DPDK.
• Proven experience developing and debugging network operating systems (NOS) and routing/switching protocols used in AI data centers (for example BGP, ECMP, EVPN/VXLAN).
• Practical experience with DOCA, NIC firmware interfaces, or other hardware-accelerated networking stacks for large-scale systems.
• Excellent communication skills and a track record of effective collaboration with developers, partners, and customers in dynamic environments.
Preferred:
• Deep knowledge of Linux kernel / systems internals, SoC / SmartNIC / NIC embedded systems, and data center switches and NOS.
• Hands-on experience with RDMA/RoCE, GPU-related networking (for example GPUDirect RDMA), and high-performance, low-latency data paths.
• Background optimizing NCCL or other distributed training stacks on large GPU clusters for throughput and tail latency.
• Experience working with hyperscalers or major cloud providers on strategic, performance-critical AI networking deployments.
• Contributions to open-source networking, RDMA, DPDK, kernel, CUDA/NCCL, or related ecosystems.
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