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

Compiler Engineer

Hillsboro, OR

$128K - $181K/yr

  • Medical

  • Retirement

  • PTO

... GPU programming. - Knowledge of performance analysis, optimization, and debugging techniques. Seize the opportunity to be part of Intel's mission to create world-changing technology that enriches ...

... performance computing, then we want you! NVIDIA's invention of the GPU revolutionized parallel ... Knowledge of programming fundamentals, especially in C/C++, with a deep understanding of parallel ...

... performance, low power optimized standard cells to improve design PPA. - Drive development of ... SOC and GPU teams on chip level integration requirements. - Drive Circuit QA checks & analysis ...

We are now looking for a Senior Verification Engineer for our Memory Management Unit. NVIDIA is ... performance & lowest power silicon possible? If so, we want to hear from you. Come join our GPU ...

Drive tools to realize their best performance. * Debug RTL to identify causes of failure scenarios ... Solid understanding of GPU/CPU architectures and designs. * Strong analytical skills to solve ...

AI Software Engineering Intern

Hillsboro, OR · On-site

  • Medical

  • Retirement

  • PTO

This role is ideal for a student who can work part-time (16 hours/week) for 6 months to 1 year and is interested in building strong foundations in AI software stacks, GPU programming, and performance ...

Follow detailed deployment runbooks and engineering documentation. * Conduct basic hardware ... Experience working in hyperscale or GPU-dense data centers. * Exposure to high-performance ...

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Gpu Performance Engineer information

See Portland, OR salary details

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How much do gpu performance engineer jobs pay per hour?

As of Aug 15, 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:

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 Physical Design and Timing Engineer

Nvidia

Hillsboro, OR • Hybrid

Full-time

Re-posted 13 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

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 now looking for a motivated Senior Physical Design and Timing Engineer to join our dynamic and growing team. If you want to challenge yourself and be a part of something great, join us today! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing! More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities which are hard to tackle, that only we can pursue, and that matter to the world. This is our life's work, to amplify human inventiveness and intelligence.

What you'll be doing:

  • Drive physical design and timing of high-frequency and low-power NVIDIA CPUs, GPUs, LPUs and SoCs at block level, cluster level, and/or full chip level.

  • Help in driving frontend and backend implementation from RTL to gds2, including synthesis, equivalence checking, floor-planning, timing constraints, timing and power convergence, and ECO implementation.

  • Work in a cross-functional environment interacting with multiple teams.

What we need to see:

  • BS (or equivalent experience) in Electrical or Computer Engineering with 5+ years of experience, or MS (or equivalent experience) with 3+ years of experience in physical design, synthesis, and timing.

  • Strong hands-on experience taking complex blocks, IPs, or chips from RTL/netlist to tapeout through logic synthesis, floorplanning, placement, clock-tree synthesis, routing, physical optimization, signoff, and ECOs.

  • Demonstrated success improving power, performance, and area through design improvements, critical-path planning and crafting,or methodology/workflow improvements.

  • Hands-on experiencein block, sub-chip, and full-chip levelStatic Timing Analysis, timing-constraint development, and multi-mode, multi-corner timing closure factoring in process variations, IR drop, and Xtalk.

  • Expertise and in-depth knowledge of industry-standard EDA tools.

  • Proficiency in Python, Tcl, Perl, Make, or similar scripting languages as well as AI/ML/DL/LLMs.

Ways to stand out from the crowd:

  • Physical design experience onhigh-performance CPUs, GPUs, LPUs, or AI accelerator designs.

  • Expertise or innovation in advanced physical design & circuits optimizations, clocking, or timing-closure strategies.

  • Experience in developing scalable optimization and signoff solutions through automation or AI/Agentic framework.

NVIDIA is widely considered to be the leader of AI computing, and one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you.

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/

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

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

Year founded

1993