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

Nvidia

Senior Performance Architect, Nemotron

Hillsboro, OR · On-site

$181K/yr

... engineers. What we need to see: * A minimum qualification of a Master's degree (or equivalent ... Experience with GPU computing (CUDA) Your base salary will be determined based on your location ...

Nvidia

Senior Developer Technology Engineer - AI

Hillsboro, OR · Hybrid

$59.25 - $78.50/hr

... Engineer, Artificial Intelligence! Would you enjoy researching parallel algorithms to accelerate AI ... low-level performance optimizations. * In-depth expertise with CPU and GPU architecture ...

Intel Corporation

Compiler Engineer

Hillsboro, OR · On-site

$149K - $211K/yr

  • Medical

  • Retirement

  • PTO

In this role, you will work on core compiler backend components, drive performance improvements ... The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel ...

Intel

Compiler Engineer

Hillsboro, OR · On-site

$149K - $211K/yr

  • Medical

  • Retirement

  • PTO

Analyze and resolve performance bottlenecks in generated code using profiling tools and realworld ... The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel ...

Intel

Senior AI Algorithm Engineer in oneDNN

Hillsboro, OR · On-site +1

$195K - $275K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Perform performance analysis and optimization to achieve bestinclass deeplearning inference and ... GPU optimizations (OpenCL, CUDA, SYCL/DPC++, C for Metal or similar) * Parallel programming (OpenMP ...

Panthalassa

Senior Thermal Engineer

Portland, OR · On-site

$110K - $152K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Assess GPU-accelerated and high-performance simulation tools for thermal analysis, including ... Apply engineering judgment to identify misleading, overfit, under-resolved, or physically ...

Panthalassa

Senior Thermal Engineer

Portland, OR · On-site

$110K - $152K/yr

Assess GPU-accelerated and high-performance simulation tools for thermal analysis, including ... Apply engineering judgment to identify misleading, overfit, under-resolved, or physically ...

Panthalassa

Senior Thermal Engineer

Portland, OR · On-site

$110K - $152K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Assess GPU-accelerated and high-performance simulation tools for thermal analysis, including ... Apply engineering judgment to identify misleading, overfit, under-resolved, or physically ...

Intel

Partner Marketing Strategist

Hillsboro, OR

  • Medical

  • Retirement

  • PTO

... tech engineers and senior executives. * Solution Selling Mindset: Experience applying solution ... Proven ability to translate complex technical specifications (like CPU/GPU performance) into ...

Intel

Sr. Machine Learning Engineer

Hillsboro, OR

$113K - $156K/yr

  • Medical

  • Retirement

  • PTO

Debug and optimize training runs - Profile training jobs, resolve bottlenecks, improve GPU ... How post-training techniques actually move model performance * How to make small models punch above ...

Nvidia

Senior VLSI CAD Software Engineer

Hillsboro, OR · On-site

$133K - $175K/yr

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... Design, development, review, test, and support of high-capacity and high-performance chip design ...

Onboard Systems International

Project Engineer

Vancouver, WA · On-site

$95K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Description Signia Aerospace is a global, integrated provider of high-performance systems and ... GPU). GPUs are tied directly to company growth and reward all eligible employees with cash when the ...

Onboard Systems International, LLC

Project Engineer

Vancouver, WA · On-site

$95K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Signia Aerospace is a global, integrated provider of high-performance systems and specialized ... GPU). GPUs are tied directly to company growth and reward all eligible employees with cash when the ...

Onboard Systems International

Project Engineer

Vancouver, WA · On-site

$95K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Signia Aerospace is a global, integrated provider of high-performance systems and specialized ... GPU). GPUs are tied directly to company growth and reward all eligible employees with cash when the ...

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Gpu Performance Engineer information

See Portland, OR salary details

$11

$63

$104

How much do gpu performance engineer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for gpu 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 are some common challenges faced by a GPU performance engineer when optimizing graphics workloads?

GPU Performance Engineers often encounter challenges such as identifying performance bottlenecks within complex graphics pipelines, balancing resource utilization, and achieving optimal frame rates across diverse hardware configurations. They must use specialized profiling tools and collaborate closely with developers, driver engineers, and QA teams to address issues like memory bandwidth limitations or shader inefficiencies. Staying updated with rapidly evolving GPU architectures and optimizing for both current and next-generation hardware are also key aspects of the role.

What is a GPU performance engineer?

A GPU Performance Engineer is a specialist who analyzes, optimizes, and improves the performance of graphics processing units (GPUs). They work on identifying bottlenecks, optimizing code, and ensuring that GPU hardware and software deliver maximum efficiency and speed. Their role may involve working with drivers, firmware, and applications to enhance graphics and compute workloads. This job is essential in industries like gaming, AI, and high-performance computing where GPU efficiency directly impacts user experience and system performance.

What are the key skills and qualifications needed to thrive as a GPU performance engineer, and why are they important?

To thrive as a GPU Performance Engineer, you need a strong background in computer architecture, programming (C/C++), and a degree in computer science, electrical engineering, or a related field. Proficiency with GPU profiling tools (e.g., NVIDIA Nsight, AMD Radeon GPU Profiler), performance analysis frameworks, and parallel computing libraries like CUDA or OpenCL is typically required. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with developers and debugging performance bottlenecks. These skills and qualities are essential for optimizing GPU performance, ensuring efficient software-hardware interaction, and delivering high-quality graphics or compute solutions.

What is the difference between Gpu Performance Engineer vs Gpu Hardware Engineer?

AspectGpu Performance EngineerGpu Hardware Engineer
Primary FocusOptimizing GPU performance, benchmarking, and tuning softwareDesigning, developing, and testing GPU hardware components
Required SkillsProgramming, performance analysis, GPU architecture knowledgeHardware design, circuit analysis, FPGA/ASIC experience
Work EnvironmentSoftware development teams, labs for testing performanceHardware labs, manufacturing facilities, R&D centers
Common CertificationsNone specific, often requires computer engineering or related degreesElectrical engineering, VLSI design certifications

The Gpu Performance Engineer primarily focuses on optimizing and testing GPU software performance, while the Gpu Hardware Engineer designs and develops the physical GPU components. Both roles require a strong background in computer engineering, but differ in their core responsibilities and work environments.

What are popular job titles related to Gpu Performance Engineer jobs in Portland, OR?

For Gpu Performance Engineer jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Gpu Performance Engineer jobs in Portland, OR look for?

The top searched job categories for Gpu Performance Engineer jobs in Portland, OR are:

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

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

Gpu Performance Engineer jobs near you
Infographic showing various Gpu Performance Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $132,583 per year, or $63.7 per hour.

Senior Performance Architect, Nemotron

Nvidia

Hillsboro, OR • On-site

$181K/yr

Full-time

Re-posted 26 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

We are now looking for a Senior Performance Architect for Nemotron! At NVIDIA, we are redefining the future of AI systems through deep model-system-hardware co-design. We are looking for a forward-thinking Nemotron Performance Architect to shape the next generation of Nemotron models through performance modeling, analysis, and forward projections. In this role, you will predict before we build - developing high-fidelity models to evaluate how architectural choices translate into real-world deployment efficiency. You will ensure that future models achieve Pareto-optimal trade-offs across accuracy, throughput, and interactivity on target platforms.

Recent efforts such as LatentMoE architectures and the Nemotron Super model exemplify the kind of performance-driven co-design you will help advance-where modeling insights directly shape model architecture and system efficiency at scale. This role sits at the center of Generative AI evolution, partnering across research, framework development, compiler, and hardware teams to guide decisions that determine how efficiently intelligence scales in production.

What You'll Be Doing:

  • Develop high-fidelity analytical performance models to prototype emerging algorithmic techniques & hardware optimizations to drive model-hardware co-design Nemotron family of models.

  • Prioritize features to guide future software and hardware roadmap based on detailed performance modeling and analysis

  • Model end-to-end performance impact of emerging GenAI workflows - such as Speculative Decoding, Agentic Pipelines, Inference-time compute scaling, RL etc. - to understand future datacenter needs

  • This position requires you to keep up with the latest DL research and collaborate with diverse teams, including DL researchers, hardware architects, and software engineers.

What we need to see:

  • A minimum qualification of a Master's degree (or equivalent experience) in Computer Science, Electrical Engineering or related fields.

  • Strong background in computer architecture, roofline modeling, queuing theory and statistical performance analysis techniques.

  • Solid understanding of ML fundamentals, model parallelism and inference serving techniques.

  • Proficiency in Python (and optionally C++) for simulator design and data analysis.

  • 3+ years of hands-on experience in system evaluation of AI/ML workloads or performance analysis, modeling and optimizations for AI.

  • Comfortable defining metrics, designing experiments and visualizing large performance datasets to identify resource bottlenecks.

  • Experience with deep learning frameworks like PyTorch, TRT-LLM, VLLM, SGLang

  • A Growth mindset and pragmatic "measure, iterate, deliver" approach.

Ways to Stand Out from the Crowd

  • Proven track record of working in multi-functional teams, spanning algorithms, software and hardware architecture.

  • Ability to distill complex analyses into clear recommendations for both technical and non-technical collaborators.

  • Experience with GPU computing (CUDA)

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 for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 23, 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

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Hours and flexibility

Workplace

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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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