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High Performance Computing Jobs in Oregon (NOW HIRING)

Nvidia

Principal CPU Power Architect

Hillsboro, OR · On-site

Do you want to help drive the development of CPU technology for architectures used for artificial intelligence (AI), agentic workloads, deep learning (DL), high-performance computing (HPC), cloud ...

Nvidia

OR · On-site

... High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most ...

Meta

OR

$193K/yr

... or high-performance computing network environments Preferred Qualifications: * Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current ...

Data Direct Networks

Experience with high-performance computing (HPC), AI infrastructure, or large-scale data environments * Existing relationships within Manufacturing accounts * Familiarity with Industry 4.0, IoT ...

Nvidia

OR

$139K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Design and develop new compiler passes and optimizations required to meet the high-performance and ...

Nvidia

OR · On-site

$129K - $175K/yr

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern ...

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High Performance Computing information

See Oregon salary details

$42.3K

$105.2K

$162.3K

How much do high performance computing jobs pay per year?

As of Jul 24, 2026, the average yearly pay for high performance computing in Oregon is $105,229.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,300.00 and $133,200.00 per year, depending on experience, location, and employer.

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.

Does HPC pay well?

High Performance Computing (HPC) professionals typically earn competitive salaries due to the specialized skills required, such as programming, system administration, and knowledge of parallel processing. Salaries vary based on experience, education, and location but generally align with other technology and engineering roles in the industry.

What engineer makes $500,000 a year?

High Performance Computing (HPC) engineers with extensive experience, advanced skills in parallel programming, and expertise in hardware and software optimization can earn salaries approaching or exceeding $500,000 annually, especially in senior or specialized roles within large tech companies or research institutions. Such positions often require advanced degrees, certifications, and a strong track record of innovation and leadership in the field.

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 the highest paying computing job?

High Performance Computing (HPC) specialists, including roles like HPC engineers and computational scientists, tend to have some of the highest salaries in the computing field due to their specialized skills in managing large-scale systems, parallel processing, and high-performance hardware. Senior positions with advanced expertise in parallel programming, cluster management, and relevant certifications can earn six-figure salaries, especially in industries like finance, research, and technology. Salary levels depend on experience, location, and industry demand.

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 a high-performance computing job?

A high-performance computing (HPC) job involves using powerful computer systems and parallel processing techniques to perform complex calculations and data analysis at high speeds. These roles often require knowledge of programming, cluster management, and specialized software to optimize computational tasks in fields like scientific research, engineering, or data science.
What are the most commonly searched types of High Performance Computing jobs in Oregon? The most popular types of High Performance Computing jobs in Oregon are:
What are popular job titles related to High Performance Computing jobs in Oregon? For High Performance Computing jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching High Performance Computing jobs in Oregon look for? The top searched job categories for High Performance Computing jobs in Oregon are:
What cities in Oregon are hiring for High Performance Computing jobs? Cities in Oregon with the most High Performance Computing job openings:
High Performance Computing jobs near you
Infographic showing various High Performance Computing job openings in Oregon as of July 2026, with employment types broken down into 2% Locum Tenens, 79% Full Time, 16% Part Time, 2% Contract, and 1% Nights. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $105,229 per year, or $50.6 per hour.
Senior Software Engineer - AI Research Clusters

Senior Software Engineer - AI Research Clusters

Nvidia

Hillsboro, OR

$133K - $175K/yr

Full-time

Posted 25 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

5th of 217 rated software companies

Job description

NVIDIA is at the forefront of innovations in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention-the GPU-functions as the visual cortex of modern computing and is central to groundbreaking applications from generative AI to autonomous vehicles. We are now looking for a Senior Software Engineer to help accelerate the next era of machine learning innovation.

In this role, you will propose and implement engineering solutions to ensure delivery of functional, reliable, secure, and performance-optimal GPU clusters to internal researchers, enable them to focus on training and development by reducing operational disruption and overhead, empower them for self-service continuous improvement on reliability, operational excellence & performance. Your work will empower scientists and engineers to train, fine-tune, and deploy the most advanced ML models on some of the world's most powerful GPU systems.

What You'll Be Doing:

  • In this position, you will work with coworkers across the AI Platform organization to understand the pain points of validating, monitoring and operating GPU clusters at scale. Then you will design, develop and maintain engineering solutions to solve those pain points systematically.

  • You will also research in traditional AIOps and the emerging Agentic AI, and leverage it to further reduce the operation toil.

  • You will participate in on-call support for systems, platforms built and owned by the team.

What We Need To See:

  • BS/MS in Computer Science, Engineering, or equivalent experience.

  • 5+ years in software/platform engineering, including 3+ years in ML infrastructure or distributed systems.

  • Experience in software development lifecycle on Linux-based platforms.

  • Strong coding skills in languages such as Python, C++ or Rust.

  • Experience with Docker, Kubernetes, GitLab CI, automated deployments.

  • Experience with AIOps or Agentic AI and apply it successfully in production environment.

Ways To Stand Out From The Crowd:

  • Proficiency with full-stack development: Relational Data Modeling, DB optimization, REST API Semantics, Javascript, CSS, providing API as a service.

  • Passion for building developer-centric platforms with great UX and strong operational reliability.

  • Experience running Slurm or custom scheduling frameworks in production ML environments.

  • Familiarity with GPU computing, Linux systems internals, and performance tuning at scale.

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 July 10, 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

Year founded

1993

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