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Senior High Performance Computing Jobs in Tacoma, WA

Senior Manager, Customer Support

Seattle, WA · On-site

$129K - $178K/yr

Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Senior Manager, Customer Support, you'll play a crucial role in empowering our ...

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 ...

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 ...

... high-performance computing. Responsibilities Own full execution of an assigned project or large multi-phase scope -- responsible for every crew and every outcome Manage through DCDLs and Sr. DCDLs ...

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 ...

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 ...

Senior AI and HPC Observability Engineer

Seattle, WA · On-site

$139K - $183K/yr

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 ...

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Senior High Performance Computing information

See Tacoma, WA salary details

$26.8K

$86.2K

$175.6K

How much do senior high performance computing jobs pay per year?

As of Aug 31, 2026, the average yearly pay for senior high performance computing in Tacoma, WA is $86,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,600.00 and $110,600.00 per year, depending on experience, location, and employer.

What is the difference between Senior High Performance Computing vs High Performance Computing Engineer?

AspectSenior High Performance ComputingHigh Performance Computing Engineer
CredentialsBachelor's or Master's in Computer Science, often with certifications in HPCBachelor's or Master's in Computer Science or related field, with HPC experience
Work EnvironmentResearch labs, universities, large data centersData centers, research institutions, tech companies
Industry UsageAcademic, research, government projectsCommercial, research, technology sectors
Primary FocusLeadership in HPC projects, strategic planningDesigning, developing, optimizing HPC systems and applications

While both roles involve high-performance computing, Senior High Performance Computing professionals typically focus on leadership and strategic oversight, whereas High Performance Computing Engineers are more involved in technical development and system optimization. The roles often overlap in skills and environment but differ in scope and responsibilities.

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

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

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

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

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

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

Senior Performance Compiler Engineer - Triton

Nvidia

Seattle, WA • On-site

$118K - $163K/yr

Full-time

Re-posted 7 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 247 rated software companies


Job description

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company".

We're looking for a Senior Performance Compiler Engineer to join our team and work on the open-source Triton compiler project. This opportunity involves working with new technologies and using compilers to improve AI performance on NVIDIA GPUs. Your work will enable breakthroughs in large language models, agents, and other high-impact AI applications, accelerating both training and inference. You will be immersed in a diverse, supportive environment where everyone is inspired to do their best work, pushing the limits of what's possible.

What you'll be doing:

  • Investigating the latest and future NVIDIA GPU hardware architecture and programming models.

  • Working on the frontier of AI by understanding advanced algorithms (like attention sinks and MoEs) and numerics (like block-scaled floating point) to identify new opportunities for optimization.

  • Designing and implementing compiler technology using MLIR to optimize high-level kernel descriptions (written in Triton's Python DSL), with a focus on generating efficient, low-level GPU code. When vital, you'll also be able to use inline PTX to hand-tune critical code paths and extract peak performance from the hardware.

  • Engaging in a dynamic, iterative process of optimization-sometimes starting with the kernel, sometimes with the compiler-to find the most efficient path to peak performance.

  • Collaborating with teams across NVIDIA, including hardware architects and the CUDA compiler team, to influence future products and ensure we are always operating at maximum efficiency.

What we need to see:

  • Bachelor, Masters or Ph.D. degree or equivalent experience in Computer Science, Computer Engineering, Applied Math, or a related field.

  • 8+ years of relevant industry experience in software development.

  • Demonstrated strong C++ programming and software design skills, with an emphasis on performance analysis and debugging.

  • Experienced in parallel programming, including CUDA/OpenCL GPU programming or other parallel models such as OpenMP.

  • Solid understanding of computer architecture and hands-on experience with assembly-level programming.

Ways to stand out from the crowd:

  • Experience in tuning BLAS or deep learning library kernels.

  • Background in numerics and linear algebra.

  • Experience with machine learning compilers like TVM or MLIR.

  • Contributions to open-source projects, especially in the AI/ML or compiler space.

  • Familiarity with the latest research in AI algorithms and numerics as well as a strong track record of contributions to open-source projects, particularly in the AI/ML, compiler, or high-performance computing domains.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 12, 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.

What Nvidia employees say

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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