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Hpc Engineer Jobs in Oregon (NOW HIRING)

Nvidia

OR · On-site

Engage with HPC, OS, CPU, GPU compute, and systems specialists to architect, build, and optimize ... Develop engineering solutions that provide continuous insights into the performance of AI workloads ...

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 ...

Nvidia

OR · On-site

$122K - $161K/yr

We are focused on supporting NVIDIA products across HPC, cloud, and enterprise on both bare metal ... Your code will support single-node developer systems through large clusters with thousands of nodes.

Nvidia

Manager, Compiler Engineering

Hillsboro, OR

NVIDIA's HPC Compiler team is looking to hire a Compiler Engineering Manager to join the team building one of the world's most important optimizing compiler products. Your work will support ...

NVIDIA

Senior VLSI CAD Software Engineer

Hillsboro, OR · On-site

$133K - $175K/yr

They are seeking a talented Software Engineer to build custom, high-impact VLSI CAD software ... NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

NVIDIA

Manager, Compiler Engineering

Hillsboro, OR · On-site

Required : • Degree in Computer Science, ECE or equivalent experience • A software engineer ... NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

Nvidia

OR · On-site

$122K - $161K/yr

Understanding of HPC/AI communication concepts * Good understanding of computer system architecture ... Experience with programming for compute & communication overlap in distributed runtime Your base ...

Formfactor

Application Engineer

Beaverton, OR · On-site

The Application Engineer, also known as the Marketing Engineer for the Probes product line, will ... Familiarity with GPU/CPU/HPC device testing is a strong plus. Key Competencies: * Technical depth:

Nvidia

Senior CPU Performance Architect

Hillsboro, OR

$181K/yr

Study workloads for a wide range of markets, including CSP, HPC,AI / DL, and autonomous vehicles ... What we need to see: * BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or ...

Panthalassa

Senior Computational Engineer

Portland, OR

$110K - $152K/yr

Run simulation workflows on on-premises and cloud-based HPC systems. * Improve team velocity by ... Bachelor's degree in Ocean Engineering, Naval Architecture, Mechanical Engineering, Aerospace ...

Panthalassa

Senior Computational Engineer

Portland, OR · On-site

$110K - $152K/yr

Run simulation workflows on on-premises and cloud-based HPC systems. * Improve team velocity by ... Bachelor's degree in Ocean Engineering, Naval Architecture, Mechanical Engineering, Aerospace ...

Panthalassa

Senior Computational Engineer

Portland, OR · On-site

$110K - $152K/yr

Run simulation workflows on on-premises and cloud-based HPC systems. * Improve team velocity by ... Bachelor's degree in Ocean Engineering, Naval Architecture, Mechanical Engineering, Aerospace ...

Nvidia

OR · On-site

$104K - $143K/yr

Minimum of 12+ years in a connectivity, network architecture or engineering role within a Hyperscale Cloud Provider, large-scale enterprise data center, or High-Performance Computing (HPC ...

Nvidia

OR · On-site

We are looking for a dedicated engineer with expertise building extensible toolchains and ... Solving difficult problems at the intersection of compilers, HPC and quantum computing to enable ...

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Hpc Engineer information

See Oregon salary details

$25.4K

$114.1K

$181.9K

How much do hpc engineer jobs pay per year?

As of Jun 15, 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 engineers make $300,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data engineering, or systems engineering can earn $300,000 or more annually, especially with senior roles, leadership positions, or in high-demand industries. These roles often require advanced skills, certifications, and extensive experience, and may include working in high-cost-of-living areas or for large technology companies.

Does HPC pay well?

HPC (High Performance Computing) engineers typically earn competitive salaries due to their specialized skills in system architecture, parallel processing, and software optimization. Salaries vary based on experience, location, and industry, but generally, HPC roles offer above-average compensation compared to other engineering fields.

What engineers make $500,000?

Highly experienced engineers in specialized fields such as software engineering, data engineering, or systems engineering can earn $500,000 or more annually, especially with senior roles, leadership positions, or in high-demand industries like technology or finance. Achieving this level often requires advanced skills, certifications, and extensive experience.

What are the key skills and qualifications needed to thrive in the Hpc Engineer position, and why are they important?

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 does an HPC engineer do?

An HPC (High-Performance Computing) engineer designs, develops, and maintains large-scale computing systems used for complex data processing and scientific simulations. They optimize hardware and software performance, troubleshoot system issues, and often work with parallel computing tools and programming languages like MPI or CUDA to ensure efficient operation of supercomputers or clusters.
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 June 2026, with employment types broken down into 94% Full Time, 4% Part Time, 1% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $114,141 per year, or $54.9 per hour.
Senior Systems Software Engineer - GPU Performance at Scale

Senior Systems Software Engineer - GPU Performance at Scale

Nvidia

OR • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

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 dedicated engineer for the Senior Systems Software Engineer role, focusing on GPU Performance at Scale. At NVIDIA, this role is uniquely positioned to drive innovation in AI and GPU computing. You will contribute to world-class computing hardware and software, fueling groundbreaking advancements in artificial intelligence. You will provide insights on large-scale system composition and tuning mechanisms for high-performance compute runs. Collaborate with researchers, developers, and customers to craft improved workflows and develop new, leading solutions. Engage with HPC, OS, CPU, GPU compute, and systems specialists to architect, build, and optimize large-scale performance platforms.

What you'll be doing:

  • Lead the implementation of performance practices in large-scale GPU infrastructure, delivering powerful tools, methodologies, and flows to validate and improve multiple datacenter products concurrently.

  • Align next-generation AI workloads with next-generation datacenter builds for NVIDIA GPUs, CPUs, and networking hardware. Engage early with HW/FW/SW/platform internal and customer teams.

  • Develop engineering solutions that provide continuous insights into the performance of AI workloads in evolving environments, generating swift insights into improvements and regressions.

  • Decompose high-complexity performance or stability issues into minimal reproduction cases, working towards identifying the root cause.

  • Participate in collaborations with various SW and FW teams (BMC/SBIOS/OS/drivers, etc.) to develop outstanding methods and tools. Analyze, debug, and resolve critical firmware and software issues to achieve the highest AI workload performance at scale.

What we need to see:

  • Proven understanding of accelerated computing software stacks (CUDA).

  • Experience with modern cloud and container-based enterprise computing architectures, with Slurm preferred.

  • Strong programming and scripting experience in C/C++/Python/Bash.

  • Deep expertise in systems architecture and the impact of various components on performance.

  • Experience with container technology and Linux-based OSes, with Docker preferred.

  • Experience supporting high-performance computing or deep learning in engineering or academic research communities.

  • Strong teamwork and communication skills, coupled with results-focused analytical abilities.

  • BS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience); MS or PhD desirable with 8+ years of applicable experience.

Ways to Stand Out From the Crowd

  • End-to-end GPU performance engineering from the profiler to systems analysis.

  • Linux systems programming and optimization experience.

  • Exposure to virtualization techniques and cloud platform solutions.

  • Experience with scheduling and resource management systems.

  • Experience with large-scale HPC environments.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 11, 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.
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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