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Freelance High Performance Computing Engineer Jobs in Tacoma, WA

YO AI Labs

CUDA Software Engineer - Remote

Seattle, WA · Remote

$60 - $100/hr

Experience with high-performance computing or GPU-accelerated applications. * Experience optimizing workloads across different GPU architectures. * Background in graphics, compute shaders, or AI/ML ...

New

YO AI Labs

CUDA Software Engineer - Remote

Seattle, WA · Remote

$60 - $100/hr

Experience with high-performance computing or GPU-accelerated applications. * Experience optimizing workloads across different GPU architectures. * Background in graphics, compute shaders, or AI/ML ...

New

YO AI Labs

CUDA Engineering Expert - Remote

Seattle, WA · Remote

$60 - $100/hr

Experience with high-performance computing or GPU-accelerated applications. * Experience optimizing workloads across different GPU architectures. * Background in graphics, compute shaders, or AI/ML ...

New

Amazon

Software Dev Engineer, EC2 Nitro

Seattle, WA · On-site

$159K/yr

We're seeking an exceptional Software Development Engineer to build and optimize the performance ... high-performance computing, distributed systems, and machine learning technologies. Key job ...

YO AI Labs

CUDA Engineering Expert - Remote

Seattle, WA · Remote

$60 - $100/hr

Experience with high-performance computing or GPU-accelerated applications. * Experience optimizing workloads across different GPU architectures. * Background in graphics, compute shaders, or AI/ML ...

New

Amazon

Software Dev Engineer, EC2 Nitro

Seattle, WA

$159K/yr

We're seeking an exceptional Software Development Engineer to build and optimize the performance ... high-performance computing, distributed systems, and machine learning technologies. Key job ...

YO AI Labs

CUDA Developer - Remote

Seattle, WA · Remote

$60 - $100/hr

Experience with high-performance computing or GPU-accelerated applications. * Experience optimizing workloads across different GPU architectures. * Background in graphics, compute shaders, or AI/ML ...

New

Nvidia

Product Program Manager

Seattle, WA · On-site

You will lead key execution initiatives in our effort to introduce next-generation purpose-built AI supercomputers working alongside high performance computing engineers and technologists.This role ...

Amazon

Software Dev Engineer, EC2 Nitro

Seattle, WA · On-site

$159K/yr

... high-performance computing, distributed systems, and machine learning technologies. Key job ... with at least one software programming language - Knowledge of Machine Learning and LLM ...

CoreWeave

Staff Product Manager, Networking

Bellevue, WA · On-site

$188K - $275K/yr

Experience building or scaling networking products within cloud, hyperscale, or high-performance computing environments * Background working closely with infrastructure or platform engineering teams

CoreWeave

Staff Product Manager, Networking

Bellevue, WA · On-site

$188K - $275K/yr

Experience building or scaling networking products within cloud, hyperscale, or high-performance computing environments * Background working closely with infrastructure or platform engineering teams

VAST Data

Customer Support Engineer

Seattle, WA · On-site

... and high-performance computing at customer sites and in the lab. You will work directly with ... Scripting and programming - bash scripting is required; must be familiar with one or more other ...

Nvidia

Senior AI and HPC Observability Engineer

Seattle, WA

$139K - $183K/yr

... high-performance computing, and artificial intelligence. Our technology powers everything from ... We are looking for a strong AI & HPC Observability Engineer to build and scale next-generation ...

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All JobsHigh Performance Computing Engineer JobsFreelance High Performance Computing Engineer JobsFreelance High Performance Computing Engineer Jobs in Tacoma, WA

Freelance High Performance Computing Engineer information

See Tacoma, WA salary details

$57.5K

$141.1K

$207.8K

How much do freelance high performance computing engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for freelance high performance computing engineer in Tacoma, WA is $141,059.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $158,400.00 per year, depending on experience, location, and employer.

What is a freelance high performance computing engineer?

A Freelance High Performance Computing (HPC) Engineer is a professional who specializes in designing, implementing, and optimizing computing systems that handle complex, large-scale computations. They work independently or on a contract basis for different organizations, helping to develop and maintain supercomputers, clusters, and parallel processing applications. Their expertise is often sought in fields like scientific research, finance, artificial intelligence, and engineering where processing large datasets quickly is essential. Freelancers in this field typically possess strong programming skills, knowledge of HPC architectures, and experience with performance tuning and troubleshooting.

What are the key skills and qualifications needed to thrive as a freelance high performance computing engineer?

To thrive as a Freelance High Performance Computing Engineer, you need expertise in parallel programming, cluster management, and a strong background in computer science or engineering. Familiarity with tools such as MPI, OpenMP, Linux environments, and cloud-based HPC platforms, along with certifications in cloud services or HPC technologies, is highly beneficial. Excellent problem-solving, project management, and communication skills set top freelancers apart when working with diverse clients. These competencies ensure the delivery of optimized, scalable solutions and effective collaboration in complex technical projects.

How do freelance high performance computing engineers typically collaborate with client teams during projects?

Freelance HPC Engineers often work closely with client engineering, research, or IT teams to design, implement, and optimize computational solutions. Collaboration usually occurs through regular virtual meetings, code reviews, and progress updates to ensure alignment with project goals and technical requirements. Clear communication and documentation are essential, as freelancers may need to integrate their work into larger systems or hand off projects to in-house teams. Building strong relationships and understanding the client's workflow help ensure successful project delivery and can lead to ongoing opportunities.

What is the difference between Freelance High Performance Computing Engineer vs Freelance Data Scientist?

AspectFreelance High Performance Computing EngineerFreelance Data Scientist
CredentialsAdvanced degrees in computer science, engineering, or related fields; knowledge of HPC systemsDegree in data science, statistics, or related fields; proficiency in programming and analytics
Work EnvironmentSpecialized computing clusters, research labs, or cloud HPC platformsData analysis environments, cloud platforms, and business analytics tools
Industry UsageResearch institutions, scientific computing, engineering simulations
Search & Comparison IntentFocus on high-performance computing tasks, technical skills

While both roles involve advanced technical skills, Freelance High Performance Computing Engineers specialize in optimizing and managing large-scale computing resources for scientific and engineering applications. Freelance Data Scientists focus on analyzing data to extract insights for business or research purposes. The key difference lies in their core focus: HPC engineers work with hardware and system performance, whereas data scientists work with data analysis and modeling.

What are the most commonly searched types of High Performance Computing Engineer jobs in Tacoma, WA?

The most popular types of High Performance Computing Engineer jobs in Tacoma, WA are:

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

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

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

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

Freelance High Performance Computing Engineer jobs near you

Senior Performance Compiler Engineer - Triton

Nvidia

Seattle, WA

$118K - $163K/yr

Full-time

Re-posted 29 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 246 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

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

Year founded

1993

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