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High Performance Computing Jobs in Seattle, WA (NOW HIRING)

Nvidia

Senior AI Engineer, High Performance AI

Redmond, WA · On-site

$137K - $180K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Develop reproducible, high-fidelity evaluation frameworks covering performance, quality and ...

Nvidia

Senior AI Engineer, High Performance AI

Redmond, WA · On-site

$137K - $180K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... We are looking for outstanding High Performance AI Engineer to build groundbreaking multi-agent ...

CoreWeave

Staff Product Manager, Networking

Bellevue, WA · On-site

$188K - $275K/yr

At CoreWeave, a leader in specialized cloud computing for AI, machine learning, and high-performance computing, we are seeking a Staff Product Manager to lead our networking product portfolio. As a ...

CoreWeave

Staff Product Manager, Networking

Bellevue, WA · On-site

$188K - $275K/yr

At CoreWeave, a leader in specialized cloud computing for AI, machine learning, and high-performance computing, we are seeking a Staff Product Manager to lead our networking product portfolio. As a ...

Amazon

Software Dev Engineer, EC2 Nitro

Seattle, WA · On-site

$159K/yr

This position offers the unique opportunity to shape the future of machine learning infrastructure at cloud scale while working at the intersection of high-performance computing, distributed systems ...

IonQ

Senior HPC Cluster Engineer

Bothell, WA · On-site

$145K - $209K/yr

Our mission is to build and operate the internal high-performance computing platform that IonQ's researchers and application developers rely on to advance quantum computing. In this role, you'll help ...

Nvidia

System Software Engineer, HPC Performance

Redmond, WA · On-site

$193K - $229K/yr

Build software tools that enable developers across a spectrum of markets to optimize their workflows; enable complex computer systems doing ongoing work in High Performance Computing(HPC), Machine ...

Nvidia

System Software Engineer, HPC Performance

Redmond, WA · On-site

$193K - $229K/yr

Build software tools that enable developers across a spectrum of markets to optimize their workflows; enable complex computer systems doing ongoing work in High Performance Computing(HPC), Machine ...

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All JobsHigh Performance Computing JobsHigh Performance Computing Jobs in Seattle, WA

High Performance Computing information

See Seattle, WA salary details

$45.5K

$113.3K

$174.7K

How much do high performance computing jobs pay per year?

As of Sep 3, 2026, the average yearly pay for high performance computing in Seattle, WA is $113,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $143,400.00 per year, depending on experience, location, and employer.

What is high performance computing?

A High Performance Computing (HPC) job involves designing, managing, and optimizing advanced computing systems used for complex calculations, simulations, and data processing. Professionals in this field work with supercomputers, parallel computing frameworks, and high-speed networks to enhance computational efficiency. HPC specialists are commonly employed in scientific research, engineering, finance, and artificial intelligence to solve large-scale problems. Responsibilities often include developing algorithms, maintaining HPC clusters, and improving system performance.

What are the typical responsibilities of someone working in high performance computing?

Professionals in High Performance Computing (HPC) are often responsible for designing, implementing, and maintaining powerful computing clusters tailored for processing large data sets or running complex simulations. Daily tasks may include optimizing code and workflows for parallel environments, troubleshooting hardware and software issues, and supporting researchers or engineers in using HPC resources efficiently. Collaboration is common, as HPC specialists work closely with IT staff, domain scientists, and software developers to ensure systems meet project and organizational goals. This role provides a challenging and dynamic work environment, offering opportunities to continually learn about emerging technologies and methodologies in computational science.

What are the key skills and qualifications needed to thrive in high performance computing, and why are they important?

To thrive in High Performance Computing, you need expertise in parallel computing, computer architecture, and programming languages such as C/C++ or Fortran, often backed by a relevant degree in computer science or engineering. Familiarity with HPC cluster management, job scheduling systems (e.g., SLURM), and experience with accelerators like GPUs or cloud platforms is crucial; certifications in Linux administration or HPC technologies are advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities help professionals excel in complex, collaborative environments. These qualifications enable the efficient design, deployment, and maintenance of advanced computing infrastructure to support scientific and engineering applications.

Is high performance computing still relevant?

High Performance Computing (HPC) remains highly relevant as it enables complex data processing, scientific simulations, and large-scale analytics across industries such as research, finance, and technology. HPC specialists with skills in parallel programming, cluster management, and relevant tools like MPI or CUDA are in demand to support advancements in AI, climate modeling, and big data analysis.

What are examples of high performance computing?

High Performance Computing (HPC) involves using powerful supercomputers and parallel processing techniques to solve complex computational problems. Examples include climate modeling, molecular simulations, financial risk analysis, and large-scale data processing in scientific research. HPC jobs often require knowledge of programming languages like C++ or Fortran, and familiarity with cluster management and parallel computing frameworks such as MPI or OpenMP.

What are popular job titles related to High Performance Computing jobs in Seattle, WA?

For High Performance Computing jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching High Performance Computing jobs in Seattle, WA look for?

The top searched job categories for High Performance Computing jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for High Performance Computing jobs?

Cities near Seattle, WA with the most High Performance Computing job openings:

High Performance Computing jobs near you
Infographic showing various High Performance Computing job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $113,263 per year, or $54.5 per hour.

Senior GPU Supercomputer Scheduler Engineer

Nvidia

Redmond, WA • On-site

$137K - $180K/yr

Full-time

Re-posted 13 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

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 Research 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.

As a member of the Scheduling team, you will participate in the design and implementation of groundbreaking GPU compute clusters that run demanding deep learning, high performance computing, and computationally intensive workloads. We seek engineers with deep technical expertise to identify architectural directions and new approaches for AI workload scheduling to serve many simultaneous and large multi-node GPU workloads with complex requirements and dependencies. This role offers you an excellent opportunity to deliver production grade solutions, get hands on with ground-breaking technology, and work closely with technical leaders solving some of the biggest challenges in machine learning, cloud computing, and system co-design.

What you'll be doing:

  • Design and develop new scheduling features and add-on services to improve GPU compute clusters across many dimensions, such as resource usage fairness, GPU occupancy, GPU waste, application resilience, application performance and power usage.

  • Design and develop batch workload management and orchestration services

  • Provide support to staff and end users to resolve batch scheduler issues

  • Build and improve our ecosystem around GPU-accelerated computing

  • Performance analysis and optimizations of deep learning workflows

  • Develop large scale automation solutions

  • Root cause analysis and suggest corrective action for problems large and small scales

  • Finding and fixing problems before they occur

What we need to see:

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

  • 5+ years of work experience

  • Strong understanding of batch scheduling, preferably with experience in schedulers such as SLURM or K8s batch schedulers (Kueue, Volcano, etc.)

  • Significant experience in systems programming languages such as C/C++ & Go as well as scripting languages such as Python and bash

  • Established experience in Linux operating system, environment and tools

  • Experience analyzing and tuning performance for a variety of AI workloads

  • In-depth understating of container technologies like Docker, Singularity, Podman

  • Flexibility/adaptability for working in a dynamic environment with different frameworks and requirements

  • Excellent communication, interpersonal and customer collaboration skills

Ways to stand out from the crowd:

  • Knowledge in High-performance computing

  • Open Source Software Contribution

  • Experience with deep learning frameworks like PyTorch and TensorFlow

  • Passionate about SW development processes

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 August 17, 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

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