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Hpc Performance Engineer Jobs in Portland, OR (NOW HIRING)

Nvidia

Senior CPU Performance Architect

Hillsboro, OR · On-site

$181K/yr

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

Nvidia

Senior CPU Performance Architect

Hillsboro, OR · On-site

$181K/yr

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

Intel

AI Performance Library Architect

Hillsboro, OR

$170K - $315K/yr

Software and AI (SAI) organization is looking for a software development engineer to work on oneDNN ... or High-performance computing (HPC) applications development * 3 year+ Floating point ...

Nvidia

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

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 ...

Intel

Middleware Development Engineer

Hillsboro, OR

$111K - $211K/yr

The Role and Impact Join Intel's Communication Runtimes team to shape the future of High-Performance Computing (HPC) and Artificial Intelligence (AI). As a Middleware Development Engineer, you will ...

Nvidia

Manager, Compiler Engineering

Hillsboro, OR · On-site

... Fortran HPC applications, measuring performance, and charting the journey to speed-of-light ... D. or Masters preferred) A software engineer with 10+ overall years of experience with at least 4+ ...

Nvidia

Manager, Compiler Engineering

Hillsboro, OR · On-site

... Fortran HPC applications, measuring performance, and charting the journey to speed-of-light ... A software engineer with 10+ overall years of experience with at least 4+ years of hands-on ...

Nvidia

Senior System Simulation Architect

Hillsboro, OR · On-site

... high-performance computing (HPC) workloads. Port/extend/develop system software (firmware, OS, and drivers) to meet workload simulation needs. Support CPU architects and performance engineers in ...

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Hpc Performance Engineer information

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How much do hpc performance engineer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for hpc performance engineer in Portland, OR is $63.74, according to ZipRecruiter salary data. Most workers in this role earn between $52.26 and $72.16 per hour, depending on experience, location, and employer.

What is an HPC performance engineer?

HPC Performance Engineers are specialists who focus on optimizing the performance of high-performance computing (HPC) systems and applications. They analyze system bottlenecks, tune software and hardware configurations, and work with researchers and developers to ensure applications run efficiently on supercomputers or large computing clusters. Their work is essential for maximizing computational resources and improving the speed and scalability of scientific, engineering, or data-intensive workloads.

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

To thrive as an HPC Performance Engineer, you need a strong background in computer science or engineering, with expertise in parallel programming, high-performance computing architectures, and performance analysis. Familiarity with tools like MPI, OpenMP, profiling software (e.g., Intel VTune, GNU gprof), and experience with job schedulers and Linux systems are essential. Analytical thinking, problem-solving, and effective communication are crucial soft skills for identifying bottlenecks and collaborating with multidisciplinary teams. These skills are vital for optimizing computational workflows, maximizing resource utilization, and driving efficiency in complex HPC environments.

What are the typical challenges HPC performance engineers face when optimizing large-scale computational workloads?

HPC Performance Engineers often encounter challenges such as identifying bottlenecks in parallel code, managing resource contention, and optimizing data movement across distributed systems. They must balance maximizing throughput with minimizing latency, all while ensuring applications scale efficiently as cluster sizes grow. Collaboration with software developers, system administrators, and research teams is common to align application requirements with hardware capabilities and to implement effective performance improvements.

What is the difference between Hpc Performance Engineer vs Hpc System Administrator?

AspectHpc Performance EngineerHpc System Administrator
Primary FocusOptimizing HPC system performance and efficiencyManaging and maintaining HPC infrastructure
Skills & CertificationsPerformance tuning, parallel computing, Linux, scriptingSystem setup, network management, user support
Work EnvironmentResearch labs, data centers, high-performance computing facilitiesData centers, IT departments, research institutions
Common TasksPerformance analysis, bottleneck resolution, code optimizationSystem installation, user account management, hardware troubleshooting

The Hpc Performance Engineer focuses on enhancing system performance and efficiency, often working on optimization and tuning. In contrast, the Hpc System Administrator manages the day-to-day operation and maintenance of HPC systems. Both roles are essential in high-performance computing environments but serve different core functions.

What cities near Portland, OR are hiring for Hpc Performance Engineer jobs?

Cities near Portland, OR with the most Hpc Performance Engineer job openings:

Hpc Performance Engineer jobs near you

Senior CPU Performance Architect

Hillsboro, OR • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

$181K/yr

Full-time

Re-posted 3 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

Do you want to help drive the development of CPU technology for architectures used for artificial intelligence (AI) / deep learning (DL), high-performance computing (HPC), cloud service providers (CSP), gaming, virtual reality, and autonomous vehicles? Come join the CPU performance architecture team and help us push performance boundaries for all our CPU products!

What you'll be doing:

  • Work on workload bring-up and performance analysis/projection, both on silicon and full-system simulator.

  • Study workloads for a wide range of markets, including AI/DL, CSP, HPC, and autonomous vehicles.

  • Study real world use-cases and identify critical application behavior and reduce to directed test cases.

  • Analyze and debug performance scaling bottlenecks on multi-core and multi-socket CPU and CPU/GPU systems.

  • Work with CPU and interconnect architects to improve future CPU and system designs based on your findings.

  • Benchmark NVIDIA's CPU offerings against competition and suggest software or hardware improvements.

What we need to see:

  • BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience.

  • 12+ years of relevant experience.

  • Experience with CPU workloads and performance analysis.

  • Knowledge of performance test development and benchmarking for CPU and I/O.

  • Deep knowledge of CPU microarchitecture and system architecture.

  • Experience with the ARM instruction set architecture (ISA) preferable but not required.

Ways to stand out from the crowd:

  • PhD or Research experience.

  • GPU driver experience.

  • Knowledge of GPU-accelerated workloads andmodeling performance of accelerated workloads.

  • Experience with performance optimization of AI frameworks such as PyTorch.

NVIDIA is a global leader in accelerated computing, delivering breakthroughs in AI, HPC, and advanced system design. Our technologies power transformative applications across industries - from robotics and autonomous vehicles to healthcare and climate research.With the introduction of theGrace CPU Superchip, and more recently, the announcement of the Vera CPU, NVIDIA has expanded into the CPU server market, complementing our world-class GPUs and SoCs. These CPUs play a critical role in orchestrating complex workloads with exceptional performance-per-watt efficiency. The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA's broader technology stack, enabling faster AI model training, agentic use-cases, efficient data processing, and scalable cloud deployments.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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

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