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High Performance Computing Hpc Analyst Jobs in Oregon

Intel

AI Infrastructure Engineer

Hillsboro, OR · On-site

$170K - $315K/yr

Apply roofline analysis and systematic profiling to decompose bottlenecks. You will partner with ... systems, or high-performance computing (HPC). Proficiency in modern C++ and Python. You are ...

Intel

Senior CPU Performance Architect

Hillsboro, OR

$181K/yr

... high-performance computing and extreme low-power products. This position offers the unique ... Proven ability to resolve complex problems, applying analytical and technical skills effectively.

Core4ce Careers

Analyze simulation data to identify system bottlenecks, vulnerabilities, and potential areas for ... Familiarity with cloud-based simulation environments and high-performance computing (HPC) resources.

Nvidia

Senior High-Performance Storage Architect - NVIS

OR · On-site +1

$166K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... NVIDIA is seeking a Senior High-Performance Storage Architect to join our Infrastructure ...

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High Performance Computing Hpc Analyst information

What does a high performance computing HPC analyst do?

A High Performance Computing (HPC) Analyst is responsible for managing, optimizing, and supporting high-performance computing systems used in research, engineering, and data-intensive applications. Their work includes configuring hardware and software for clusters or supercomputers, troubleshooting system issues, and assisting users in running complex computational jobs efficiently. They also monitor system performance, recommend upgrades, and help ensure security and data integrity within HPC environments. HPC Analysts often collaborate with researchers and IT staff to achieve optimal performance for scientific or business computing tasks.

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

To thrive as a High Performance Computing (HPC) Analyst, you need a solid background in computer science, mathematics, or engineering, with expertise in parallel programming and Linux-based systems. Familiarity with technical tools such as MPI, OpenMP, job schedulers (like Slurm), and experience with various HPC architectures is typically required, and certifications in cloud or HPC systems can be advantageous. Strong problem-solving abilities, communication skills, and the capacity to work collaboratively with researchers and IT professionals are standout soft skills. These competencies are essential to efficiently optimize computational resources, troubleshoot issues, and enable groundbreaking research or data analysis in high-demand environments.

What are some common challenges faced by high performance computing HPC analysts when supporting users and systems?

High Performance Computing Analysts often encounter challenges such as troubleshooting complex hardware and software issues, optimizing application performance, and managing resource allocation for multiple users. Balancing the needs of researchers while maintaining system stability and security can be demanding, especially as workloads and technologies rapidly evolve. Additionally, effective communication with users from diverse scientific backgrounds is crucial to understand their requirements and provide tailored support.

What is the difference between High Performance Computing Hpc Analyst vs Data Analyst?

AspectHigh Performance Computing (HPC) AnalystData Analyst
Required CredentialsBachelor's degree in Computer Science, IT, or related field; certifications in HPC or related technologiesBachelor's degree in Statistics, Mathematics, or related field; certifications in data analysis tools
Work EnvironmentResearch labs, data centers, or IT departments focusing on large-scale computingBusiness, finance, healthcare, or marketing environments analyzing datasets
Employer & Industry UsageTech companies, research institutions, government agenciesCorporate sectors, consulting firms, healthcare providers

The main difference is that HPC Analysts focus on managing and optimizing high-performance computing resources for complex simulations and large datasets, while Data Analysts interpret data to generate insights for decision-making. HPC Analysts require specialized knowledge of computing infrastructure, whereas Data Analysts focus more on data visualization and statistical analysis.

What cities in Oregon are hiring for High Performance Computing Hpc Analyst jobs?

Cities in Oregon with the most High Performance Computing Hpc Analyst job openings:

Infographic showing various High Performance Computing Hpc Analyst job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 3% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Principal Front-End Design Automation Engineer

Portland, OR • On-site

Ampere Computing LLC
Manufacturing • 1 - 5K employees
Learn more about Ampere Computing LLCexternal

$182K - $273K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 21 days ago

Key responsibilities

  • Partner with RTL and Verification teams to drive improvements in pre-silicon productivity through automation and platform capabilities.

  • Support and enhance EDA tooling guidance, automate workflows, and contribute to infrastructure scaling to improve design quality.

  • Provide technical guidance for EDA tools and design/verification flows, and deploy automation services to streamline RTL design and verification processes.

Job description

Description
Invent the future with us.
Ampere is a semiconductor design company for a new era, leading the future of computing with an innovative approach to CPU design focused on high-performance, energy efficient AI compute.
As a pioneer in the new frontier of energy efficient high-performance computing, Ampere is part of the Softbank Group of companies driving sustainable computing for AI, Cloud, and edge applications.
Join us at Ampere and work alongside a passionate and growing team - we'd love to have you apply!
About the Role:
As a Principal Front-End Design Automation (EDA/DevOps) Engineer, you will partner closely with Ampere's RTL and Verification organizations to drive measurable improvements in pre-silicon productivity through automation, systems, and platform capabilities. Collaborate with hardware, software, and IT stakeholders. You will also support EDA tooling guidance, architect or enhance internal tools, automate end-to-end workflows across on-prem and cloud, and contribute to infrastructure scaling to improve design quality and expand AI-enabled impact in verification and design.
What You'll Achieve:
  • Provide strong tech guidance for EDA tools and Ampere design/verification flows, establishing standards and mechanisms that measurably improve productivity and reliability.
  • Collaborate with RTL design and verification teams to define and deploy new or improved methods of work.
  • Deploy, and administer custom Ampere automation and services that streamline RTL design and verification, reducing cycle time and operational overhead for design teams.
  • Enable and support EDA tools used for RTL design and verification (SystemVerilog simulation, Lint, CDC, RDC, UPF, debug).
  • Connect with IT, EDA vendors, RTL design and verification teams to deliver high-performance, efficient solutions.

About you:
  • 6+ years of proven Front-End Design Automation (EDA/DevOps) expertise, in the technology sector (semiconductor design is preferred).
  • Skilled in Python or Perl scripting.
  • Strong SystemVerilog language expertise with background in DV/UVM/Coverage/Simulation/Debug and/or RTL static checks (Lint/CDC/RDC/UPF).
  • Experience with IP and SoC RTL design and verification workflows.
  • Knowledgeable with HPC scheduling/workload management , like IBM LSF (Load Sharing Facility) or SLURM (Simple Linux Utility for Resourc.e Management), for running EDA workloads.
  • Additional skills highly desired: SCM/Source Code Management; Git/Perforce; RDBMS; CI/CD; Cloud Computing

Education:
  • BS degree in Electrical Engineering, Computer Engineering, or Computer Science & 8 years of related experience, MS degree & 6 years, or PhD & 3 years

What we'll offer:
At Ampere we believe in taking care of our employees and providing a competitive total rewards package that includes base pay, cash long-term incentive, and comprehensive benefits. The full base pay range for this role is between $182,000 and $273,000.
Our benefits include health, wellness, and financial programs that support employees through every stage of life.
Benefits highlights include:
  • Premium medical insurance, dental insurance, vision insurance, as well as income protection and a 401K retirement plan, so that you can feel secure in your health and financial future.
  • Unlimited Flextime and 10+ paid holidays so that you can embrace a healthy work-life balance.
  • A variety of healthy snacks, energizing espresso, and refreshing drinks to keep you fueled and focused throughout the day.

And there are much more than compensation and benefits. At Ampere, we foster an inclusive culture that empowers our employees to do more and grow more. We are excited to share more about our career opportunities with you through the interview process.
#LI-GW1
#LI-Hybrid
Ampere is an inclusive and equal opportunity employer and welcomes applicants from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, religion, age, veteran and/or military status, sex, sexual orientation, gender, gender identity, gender expression, physical or mental disability, or any other basis protected by federal, state or local law.

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