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

Nvidia

Senior AI Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... We are seeking a Machine Learning Compiler Engineer with deep expertise in compiler technologies to ...

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 ... NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ...

Nvidia

Senior Compiler Engineer - DL

Redmond, WA · On-site

$137K - $180K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ...

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Computer Graphics Engineer information

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$157.6K

$184.4K

$198.6K

How much do computer graphics engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for computer graphics engineer in Seattle, WA is $184,432.00, according to ZipRecruiter salary data. Most workers in this role earn between $159,300.00 and $196,900.00 per year, depending on experience, location, and employer.

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 is a Computer Graphics Engineer job?

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 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
Senior AI and HPC Observability Engineer

Senior AI and HPC Observability Engineer

Nvidia

Seattle, WA

$139K - $183K/yr

Full-time

Posted 11 days ago

Job description

NVIDIA is a pioneer in accelerated computing, known for inventing the GPU and driving breakthroughs in gaming, computer graphics, high-performance computing, and artificial intelligence. Our technology powers everything from generative AI to autonomous systems, and we continue to shape the future of computing through innovation and collaboration. Within this mission, our team, Managed AI Superclusters (MARS) builds and scales the infrastructure, platforms, and tools that enable researchers and engineers to develop the next generation of AI/ML systems. By joining us, you'll help design solutions that power some of the world's most advanced computing workloads.

Observability is at the heart of this transformation. We are looking for a strong AI & HPC Observability Engineer to build and scale next-generation Observability and Telemetry platforms. You will design and develop high-throughput, reliable telemetry pipelines and modern data infrastructure. This role requires solid distributed systems fundamentals, production-grade coding, and a passion for operational excellence.

What You Will Be Doing:

  • Design and scale observability platforms handling high-volume metrics, logs, and traces across distributed environments

  • Build high-performance backend services for telemetry ingestion, processing, and routing

  • Develop and extend OpenTelemetry collectors, processors, exporters, and instrumentation libraries

  • Build and optimize metrics pipelines using large-scale time-series storage systems

  • Design and operate real-time and batch telemetry pipelines using streaming and distributed data technologies

  • Improve platform reliability, performance, and cost efficiency through tuning, capacity planning, and system optimization

  • Develop monitoring, alerting, and service reliability frameworks to ensure platform health and performance

  • Collaborate with platform engineering, infrastructure, and site reliability teams to deliver production-grade observability solutions

What We Need to see:

  • Bachelor's degree in Computer Science, Computer Engineering, or related field or equivalent experience

  • 5+ years of experience building backend or distributed systems in production environments

  • Strong programming skills in Python, Go, or Java, with experience developing production-quality software

  • Hands-on experience with modern observability architectures, including metrics, logs, and traces

  • Solid experience with PromQL and time-series data systems

  • Experience building or operating distributed data pipelines using technologies such as Kafka, Spark, or Flink

  • Experience working with Kubernetes and cloud-native infrastructure

  • Strong understanding of distributed systems, concurrency, and fault-tolerant system design. Strong debugging, performance tuning, and production operations skills

Ways To Stand Out from The Crowd:

  • Proven experience designing and scaling observability platforms for AI, GPU, or HPC environments

  • Hands-on expertise with OpenTelemetry, Prometheus, Kafka, and high-volume distributed telemetry pipelines

  • Strong background in data engineering, time-series data modeling, and real-time performance tuning

  • Experience integrating observability with AI/ML pipelines, GPU workload monitoring, or intelligent alerting

  • Demonstrated use of statistical or machine learning techniques for anomaly detection, correlation, or predictive insights

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 6, 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.
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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