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Hpc Engineer Jobs in Oregon (NOW HIRING)

Nvidia

OR

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 ...

Nvidia

Senior CPU Compiler Engineer - HPC

Hillsboro, OR

$113K - $156K/yr

NVIDIA's HPC Compiler Team wants to hire a Compiler Developer to join the team building one of the world's most important optimizing compilers. If you want a front-row seat to pioneering compiler ...

Nvidia

OR

We are looking for an outstanding hands-on architect/engineer for a Senior HPC architect role to support deployment and bringup of large-scale GPU compute clusters. Be a key player to enable the most ...

Nvidia

Senior Fortran Compiler Engineer

Hillsboro, OR

$113K - $156K/yr

NVIDIA's HPC compiler group wants to hire a Fortran compiler developer to join the team building one of the world's most important optimizing compilers. If you want a front-row seat to ...

Bespoke Labs

Machine Learning Engineer

Eugene, OR

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Bespoke Labs

Machine Learning Engineer

Portland, OR · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Intel

Senior AI Algorithm Engineer in oneDNN

Hillsboro, OR · On-site +1

$195K - $275K/yr

Collaborate with top experts in deep learning, HPC, compilers, and systems optimization. * Contribute to technology adopted by millions of developers worldwide. * Engage with a highly visible ...

Bespoke Labs

Machine Learning Engineer

Salem, OR · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Bespoke Labs

Machine Learning Engineer

Gresham, OR · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Bespoke Labs

Machine Learning Engineer

Gresham, OR

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Bespoke Labs

Machine Learning Engineer

Eugene, OR · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Bespoke Labs

Machine Learning Engineer

Salem, OR

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

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Hpc Engineer information

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$25.4K

$114.1K

$181.9K

How much do hpc engineer jobs pay per year?

As of Aug 3, 2026, the average yearly pay for hpc engineer in Oregon is $114,141.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,300.00 and $141,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an HPC engineer?

To thrive as an HPC Engineer, you need a solid background in computer science, mathematics, or a related field, with expertise in parallel computing, Linux systems, and high-performance cluster management. Proficiency with job schedulers (like SLURM or PBS), programming languages such as C/C++ or Python, and experience with distributed file systems are highly valuable, and certifications in relevant areas can enhance your qualifications. Strong problem-solving, collaboration, and communication skills help you work efficiently within technical teams and explain complex concepts to non-experts. These skills and qualities are essential for ensuring high performance, reliability, and scalability of computing systems in scientific and enterprise settings.

What are some of the common challenges faced by HPC engineers in their day-to-day work?

HPC Engineers often encounter challenges such as optimizing performance for complex workloads, troubleshooting system failures, and efficiently managing large-scale infrastructures. You may be required to balance the needs of multiple users and projects, quickly address hardware or software issues, and stay ahead of evolving technologies. Collaboration with researchers, IT staff, and software developers is key to designing robust solutions. Overcoming these challenges helps improve computational efficiency and supports critical research and business objectives.

What does an HPC engineer do?

An HPC (High-Performance Computing) Engineer designs, deploys, and optimizes high-performance computing systems used for intensive computational tasks. They work with parallel computing, cluster management, and performance tuning to ensure efficient processing of large-scale simulations, data analysis, and scientific research. Their role often involves configuring hardware, optimizing software, and troubleshooting issues to maximize system performance.

What are the most commonly searched types of Hpc Engineer jobs in Oregon? The most popular types of Hpc Engineer jobs in Oregon are:
What are popular job titles related to Hpc Engineer jobs in Oregon? For Hpc Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Hpc Engineer jobs in Oregon look for? The top searched job categories for Hpc Engineer jobs in Oregon are:
What cities in Oregon are hiring for Hpc Engineer jobs? Cities in Oregon with the most Hpc Engineer job openings:
Hpc Engineer jobs near you
Infographic showing various Hpc Engineer job openings in Oregon as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $114,141 per year, or $54.9 per hour.

HPC Performance Engineer

Nvidia

OR

Full-time

Posted 14 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 241 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.

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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