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High Performance Computing Hpc Analyst Jobs in Oregon

Our performance engineers analyze High Performance Computing (HPC) applications with the intent of improving performance by driving compiler optimizations and library enhancements. This role offers ...

Our performance engineers analyze High Performance Computing (HPC) applications with the intent of improving performance by driving compiler optimizations and library enhancements. This role offers ...

... high-performance computing (HPC), cloud service providers (CSP), gaming, virtual reality, and ... Analyze and debug performance scaling bottlenecks on multi-core and multi-socket CPU and CPU/GPU ...

... high-performance computing (HPC), cloud service providers (CSP), gaming, virtual reality, and ... Analyze and debug performance scaling bottlenecks on multi-core and multi-socket CPU and CPU/GPU ...

... analytics, and the optimization of data centers. Join our team, where we are at the forefront of ... What we need to see: 10+ overall years' experience in IT, high-performance computing, or other ...

Senior CPU Compiler Engineer - HPC

Hillsboro, OR · On-site

$113K - $156K/yr

NVIDIA's HPC Compiler Team wants to hire a Compiler Developer to join the team building one of the ... Our GPUs are being used in many of the largest high performance computing projects around the world ...

NVIDIA's HPC Compiler Team wants to hire a Compiler Developer to join the team building one of the ... Our GPUs are being used in many of the largest high performance computing projects around the world ...

We are now looking for a senior HPC software engineer ... As a member of our the High Performance Computing Software development team, you will be ...

... High-Performance Computing (HPC) and Artificial Intelligence (AI). As a Middleware Development ... Strong analytical skills and ability to solve complex software challenges. * Passion for driving ...

Senior HPC and Quantum Systems Engineer

OR · On-site +1

$104K - $142K/yr

This role sits at the intersection of data center infrastructure, high-performance computing, and ... Hybrid Quantum-HPC Platform Engineering Build, deploy, and operate a hybrid computing platform ...

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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.

HPC Performance Engineer

OR • On-site, Remote

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Re-posted 21 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for a HPC Performance Engineer in our NVHPC compilers & tools group. Our performance engineers analyze High Performance Computing (HPC) applications with the intent of improving performance by driving compiler optimizations and library enhancements. This role offers the chance to work with a wide range of applications, from small benchmarks running on single-CPU core to full-scale applications running on multi-node multi-GPU systems. You'll find optimization opportunities and work closely with our compiler development and application engineering teams to deliver effective solutions.

What you'll be doing:

  • Analyze the effect of different compilers and compiler optimizations on HPC application performance.

  • Evaluate whether and how the compiler and runtime can improve the performance of key HPC applications on CPU and CPU/GPU platforms.

  • Communicate limits of compiler capabilities with application engineering to guide the best path forward towards improving performance.

  • Port HPC applications to different platforms and programming models.

  • Evaluate the impact of NVHPC package components, device driver, and system configuration on application performance.

What we need to see:

  • BS/MS or equivalent experience in Computer Science or a related engineering field.

  • 5+ years of programming experience.

  • Solid understanding of Fortran, C, C++, and programming techniques, especially for parallel architectures, preferably for compilers.

  • Experience with OpenACC, OpenMP, MPI, CUDA and Standard Language Parallelism.

  • Strong skills in performance analysis and tuning, as well as a broad understanding of parallel applications development tools and runtime environments.

  • Strong mathematical fundamentals, including linear algebra and numerical methods.

  • Understand performance considerations, tradeoffs, and impact.

  • Expert interpersonal skills, a logical approach to problem-solving, good time management, and task prioritization skills. Excellent written and verbal communication skills, along with the ability to work in a dynamic development team.

Ways to stand out from the crowd:

  • You have a deep understanding of machine architectures and micro-architectures.

  • Experience with debugging and porting as well as assembly language programming is a significant advantage.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 24, 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.

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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