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High Performance Computing Jobs in Oregon (NOW HIRING)

Cynet Systems

HPC Consultant

Tualatin, OR · On-site

$52 - $57/hr

High Performance Computing Engineer Pay Range: $52hr - $57hr Responsible for designing, optimizing, and supporting high-performance computing (HPC) environments including cluster scheduling, storage ...

Intel

AI Performance Library Architect

Hillsboro, OR · On-site

$170K - $315K/yr

Low-level performance optimizations using CUDA, x86 assembly or intrinsics, or OpenCL Preferred qualifications : * 3 years+ Machine learning and deep learning algorithms or High-performance computing ...

Nvidia

Senior Fortran Compiler Engineer

Hillsboro, OR

$113K - $156K/yr

If you want a front-row seat to state of the art compiler development for high-performance computing, then we want you! We're implementing Flang with a keen interest in high-level optimization of ...

Arka Infotech Inc

OR

... High Performance Computing, Data Mining and Analysis, Information Life Cycle Management, Map Reduce Programming and Intelligence, Pearl, PHP, Java, C++, Rendering, MapReduce, Scientific Computational ...

Nvidia

OR · On-site

Experience working with engineering or academic research community supporting high performance computing or deep learning. * Experience with parallel filesystems. * Strong teamwork and communication ...

Intel

Middleware Development Engineer

Hillsboro, OR

The Role and Impact Join Intel's Communication Runtimes team to shape the future of High-Performance Computing (HPC) and Artificial Intelligence (AI). As a Middleware Development Engineer, you will ...

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 ...

Cellanome

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

Optimize algorithms for deployment on edge devices, GPUs, and high-performance computing environments with considerations for latency, throughput, and memory efficiency. * Create technical ...

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High Performance Computing information

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$42.3K

$105.2K

$162.3K

How much do high performance computing jobs pay per year?

As of Jul 4, 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 June 2026, with employment types broken down into 1% As Needed, 94% Full Time, and 5% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $105,229 per year, or $50.6 per hour.
HPC Consultant

HPC Consultant

Cynet Systems

Tualatin, OR • On-site

$52 - $57/hr

Other

Posted 3 days ago

Job description

High Performance Computing Engineer

Pay Range: $52hr - $57hr

Responsible for designing, optimizing, and supporting high-performance computing (HPC) environments including cluster scheduling, storage performance, application optimization, and system tuning. The role involves improving workload efficiency, supporting HPC applications, and ensuring optimal performance across compute, storage, and network layers in large-scale production environments.

Requirement/Must Have:
  • Eight to twelve years of hands-on HPC engineering experience in production environments.
  • Strong expertise in SLURM configuration, tuning, and troubleshooting.
  • Strong knowledge of Linux operating systems.
  • Experience with HPC storage systems and I/O performance analysis.
  • Experience building, installing, and optimizing HPC applications and scientific software stacks.
  • Experience with MPI, OpenMP, and HPC toolchains.
  • Strong scripting skills in Bash and Python.
  • Experience with performance analysis and debugging tools.
  • Strong understanding of HPC system architecture and workload optimization.
Experience:
  • Experience designing and tuning HPC cluster scheduling policies including fair-share, backfill, and reservations.
  • Experience in HPC storage benchmarking using tools such as IOR, FIO, MDTest, and IOzone.
  • Experience analyzing I/O patterns and mapping workloads to storage architectures.
  • Experience supporting application optimization using compilers and libraries.
  • Experience in system-level performance tuning across compute, storage, and network layers.
  • Experience supporting cluster upgrades, expansions, and hardware refresh activities.
Responsibilities:
  • Design, configure, tune, and optimize SLURM partitions, queues, QoS, and scheduling policies.
  • Analyze job scheduling behavior, bottlenecks, and resource contention issues.
  • Troubleshoot job failures and performance degradation in HPC environments.
  • Implement scheduling policies such as fair-share, backfill, and reservations.
  • Lead HPC storage benchmarking and performance validation activities.
  • Analyze HPC workload I/O patterns and recommend storage architectures.
  • Support storage procurement decisions including performance and sizing analysis.
  • Collaborate with vendors and internal teams during proof-of-concept evaluations.
  • Build, configure, and maintain HPC applications, compilers, and software stacks.
  • Optimize application performance using MPI, OpenMP, and GPU acceleration where applicable.
  • Manage environment modules and software management frameworks.
  • Perform system-level tuning across compute, memory, network, and storage systems.
  • Diagnose and resolve node-level issues involving CPU, GPU, interconnects, and OS configurations.
  • Create runbooks, performance baselines, and troubleshooting documentation.
  • Support cluster upgrades, expansions, and infrastructure lifecycle activities.
  • Collaborate with researchers, application owners, and infrastructure teams.
  • Translate workload requirements into optimized HPC configurations.
  • Provide technical guidance and recommendations to stakeholders and leadership.
Should Have:
  • Experience with GPU-based HPC workloads (CUDA, ROCm).
  • Exposure to cloud HPC environments (Azure, AWS, GCP).
  • Experience with parallel file systems such as Lustre or IBM Spectrum Scale.
  • Experience working with vendors for HPC hardware and storage evaluations.
Skills:
  • SLURM scheduling and cluster management.
  • Linux system administration.
  • HPC storage and I/O performance tuning.
  • MPI and OpenMP programming models.
  • HPC compilers and toolchains (GCC, Intel, NVIDIA HPC SDK).
  • Performance analysis tools.
  • Python and Bash scripting.
  • Environment modules (Lmod).
  • HPC system architecture and optimization.
  • GPU computing (preferred).
Qualification And Education:
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field preferred.
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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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