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High Performance Computing Jobs in Portland, OR (NOW HIRING)

NVIDIA

Senior Performance Architect, Nemotron

Hillsboro, OR · On-site

$181K/yr

In this role, you will develop high-fidelity performance models to evaluate architectural choices ... NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

Nvidia

Senior ASIC Verification Engineer

Hillsboro, OR · On-site

Come join our GPU ASIC Verification team and help us build future architectures that will continue to drive us forward in the fields of High Performance Computing, Graphics and AI. Your base salary ...

Panthalassa

Senior Structural Engineer - Simulation

Portland, OR · On-site

$106K - $144K/yr

You will sit at the intersection of structural mechanics and high-performance computing, developing the solvers and automation pipelines that allow us to evaluate millions of design possibilities ...

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Datavault AI Inc.

Senior Accountant

Beaverton, OR · On-site

$77K - $96K/yr

Datavault AI Inc. delivers high-performance computing software, Web 3.0 data-management solutions, and advanced audio technologies to a broad range of industries. Event Citadel (formerly CompuSystems ...

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Intel

Senior AI Algorithm Engineer in oneDNN

Hillsboro, OR · On-site +1

$195K - $275K/yr

Low-level Performance Optimizations, preferably on GPUs Preferred Qualifications: * 3 years+ High-performance computing (HPC) applications development * 1 year+ Machine learning and deep learning ...

Varsity Tutors

C++ Tutor

Portland, OR · Remote

$18 - $40/hr

Emphasizes understanding memory management principles and connects C++ programming to operating systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

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All JobsHigh Performance Computing JobsHigh Performance Computing Jobs in Portland, OR

High Performance Computing information

See Portland, OR salary details

$42.4K

$105.5K

$162.8K

How much do high performance computing jobs pay per year?

As of Jul 4, 2026, the average yearly pay for high performance computing in Portland, OR is $105,550.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $133,600.00 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 popular job titles related to High Performance Computing jobs in Portland, OR? For High Performance Computing jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching High Performance Computing jobs in Portland, OR look for? The top searched job categories for High Performance Computing jobs in Portland, OR are:
High Performance Computing jobs near you
Infographic showing various High Performance Computing job openings in Portland, OR as of June 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $105,550 per year, or $50.7 per hour.
Senior Performance Architect, Nemotron

Senior Performance Architect, Nemotron

NVIDIA

Hillsboro, OR • On-site

$181K/yr

Full-time

Posted 15 days ago

Job description

Job Summary:
NVIDIA is redefining the future of AI systems through deep model–system–hardware co-design, and they are looking for a Senior Performance Architect for Nemotron. In this role, you will develop high-fidelity performance models to evaluate architectural choices and ensure future models achieve optimal trade-offs across accuracy and efficiency.
Responsibilities:
• Develop high-fidelity analytical performance models to prototype emerging algorithmic techniques & hardware optimizations to drive model-hardware co-design Nemotron family of models.
• Prioritize features to guide future software and hardware roadmap based on detailed performance modeling and analysis
• Model end-to-end performance impact of emerging GenAI workflows - such as Speculative Decoding, Agentic Pipelines, Inference-time compute scaling, RL etc. – to understand future datacenter needs
• This position requires you to keep up with the latest DL research and collaborate with diverse teams, including DL researchers, hardware architects, and software engineers.
Qualifications:
Required:
• A minimum qualification of a Master's degree (or equivalent experience) in Computer Science, Electrical Engineering or related fields.
• Strong background in computer architecture, roofline modeling, queuing theory and statistical performance analysis techniques.
• Solid understanding of ML fundamentals, model parallelism and inference serving techniques.
• Proficiency in Python (and optionally C++) for simulator design and data analysis.
• 3+ years of hands-on experience in system evaluation of AI/ML workloads or performance analysis, modeling and optimizations for AI.
• Comfortable defining metrics, designing experiments and visualizing large performance datasets to identify resource bottlenecks.
• Experience with deep learning frameworks like PyTorch, TRT-LLM, VLLM, SGLang.
• A Growth mindset and pragmatic 'measure, iterate, deliver' approach.
Preferred:
• Proven track record of working in multi-functional teams, spanning algorithms, software and hardware architecture.
• Ability to distill complex analyses into clear recommendations for both technical and non-technical collaborators.
• Experience with GPU computing (CUDA)
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
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

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