ZipRecruiter

Log In

1

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

Amazon

Software Dev Engineer, EC2 Nitro

Seattle, WA

$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 ...

Amazon

Software Dev Engineer, EC2 Nitro

Seattle, WA

$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 ...

Introl

Data Center Technician

Seatac, WA · On-site

$22 - $35/hr

We set the benchmark for excellence with our top-tier solutions in high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime. Our ...

Microsoft

Research Intern - RiSE group

Redmond, WA · On-site

$8K - $14K/mo

Overview Research Intern - RiSE group (Formal Methods, High-Performance Computing, ML Systems, Programming Languages, Software Engineering) Research Internships at Microsoft provide a dynamic ...

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 ...

Amazon

Software Dev Engineer, EC2 Nitro

Seattle, WA

$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 ...

CoreWeave

Technical Support Engineer II

Bellevue, WA · On-site

Company : CoreWeave provides cloud infrastructure services designed to support artificial intelligence and high-performance computing workloads. Founded in 2017, the company is headquartered in ...

next page

Showing results 1-20

People also search for

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

High Performance Computing information

See Seattle, WA salary details

$45.5K

$113.3K

$174.8K

How much do high performance computing jobs pay per year?

As of Jun 11, 2026, the average yearly pay for high performance computing in Seattle, WA is $113,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,600.00 and $143,500.00 per year, depending on experience, location, and employer.

What are the career opportunities in high performance computing?

Career opportunities in high performance computing (HPC) include roles such as HPC system administrators, computational scientists, software developers, and data analysts. These positions often require skills in parallel programming, Linux systems, and knowledge of HPC tools like MPI and CUDA, with certifications and experience in managing large-scale computing environments being advantageous.

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 engineers make $500,000?

High Performance Computing engineers, especially those with advanced skills in parallel programming, system architecture, and experience with supercomputers or cloud HPC environments, can reach salaries of $500,000 or more, often in senior or specialized roles. Such compensation typically includes base salary, bonuses, and stock options, and is common in industries like aerospace, defense, and large tech companies.

What is the highest paid job in computing?

In high performance computing, roles such as HPC Director, Chief Technology Officer, or senior research scientists often have the highest salaries, especially with advanced skills in parallel programming, system architecture, and large-scale data management. These positions typically require extensive experience, leadership abilities, and often advanced degrees or certifications.

What are the key skills and qualifications needed to thrive in the High Performance Computing position, 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.

What is a High Performance Computing job?

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 is high performance in computing?

High performance in computing refers to systems or applications that deliver rapid processing speeds and handle large-scale computations efficiently. High Performance Computing (HPC) jobs often utilize parallel processing, specialized hardware like supercomputers or clusters, and optimized software to solve complex problems in fields such as scientific research, engineering, and data analysis.
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
Senior Software Engineer, CUTLASS Performance

Senior Software Engineer, CUTLASS Performance

Nvidia

Redmond, WA

$137K - $180K/yr

Full-time

Posted 9 days ago

Job description

NVIDIA's high-performance computing platforms are powering the AI revolution across many applications and industries. Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high-performance linear algebra and Tensor Core primitives. Since 2017, it has provided the community with C++ and Python abstractions to implement custom matrix multiply (GEMM) and related math and deep learning computations on NVIDIA GPUs.

If you are enthusiastic about performance and eager to help bridge the gap between current performance and what's theoretically possible, apply to join the CUTLASS team today!

What you'll be doing:

  • Benchmark the performance of state-of-the-art deep learning models' inference and training passes to identify key GPU kernel and fusion opportunities.

  • Identify gaps between theoretical and realized performance, and suggest software improvements or model adjustments to resolve them.

  • Develop tooling to automate the benchmarking, analysis, and performance optimization loop to push the limit of CUTLASS kernel performance within DL networks.

  • Be the authoritative resource on kernel performance in the team and engage with teams across NVIDIA including GPU architecture, DL frameworks, and QA as the performance representative for the CUTLASS team.

What we need to see:

  • Masters or PhD degree in Computer Science, Computer Engineering, or related field (or equivalent experience).

  • 3+ years of relevant industry experience.

  • Strong programming skills in Python and C++.

  • Experience in software performance analysis and optimization.

  • Deep understanding of computer architecture and familiarity with GPUs or similar parallel processing architectures.

Ways to stand out from the crowd:

  • Deep understanding of state-of-the art DL model architectures.

  • Hands-on experience with performance benchmarking of DL frameworks like PyTorch, JAX, SGLang, vLLM, TRT-LLM, or others.

  • Experience in developing performance models and performance regression systems.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hard working people in the world working for us. If you're creative, autonomous, and love a challenge, consider joining our Deep Learning Library team and help us build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

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 June 5, 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.
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

View All Nvidia Jobs

Apply