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

Performance engineering and software performance optimizations * Floating point arithmetic and ... and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering ...

Our approach delivers the performance required by autonomous vehicles, photo-realistic games and ... As a Senior Design Engineer at NVIDIA, you will be responsible for the development and micro ...

Our approach delivers the performance required by autonomous vehicles, photo-realistic games and ... As a Senior Design Engineer at NVIDIA, you will be responsible for the development and micro ...

Senior CPU Performance Architect

Hillsboro, OR ยท On-site

$181K/yr

What we need to see: * BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or ... GPU driver experience. * Knowledge of GPU-accelerated workloads andmodeling performance of ...

Senior CPU Performance Architect

Hillsboro, OR ยท On-site

$181K/yr

What we need to see: BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or ... GPU driver experience. Knowledge of GPU-accelerated workloads and modeling performance of ...

Proficiency in evaluating power/performance and architectural modeling in high-level programming ... Experience with GPU or AI accelerator architecture, including platform aspects, off-chip I/O ...

Proficiency in evaluating power/performance and architectural modeling in high-level programming ... Experience with GPU or AI accelerator architecture, including platform aspects, off-chip I/O ...

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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 Sep 3, 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 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 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 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 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $132,583 per year, or $63.7 per hour.

Senior GPU Performance Software Engineer

Talanto

Hillsboro, OR โ€ข On-site

$195 - $276/hr

Other

Medical, Retirement, PTO

Posted 5 days ago


Job description

Senior GPU Performance Software EngineerAbout the Role

The Software and AI (SAI) organization is seeking a highly skilled software engineer to contribute to the development and low-level optimization of oneDNN, a complex, cross-platform, open-source performance library that serves as the foundation for deep learning applications.

Please Note: This is a low-level software engineering and hardware-acceleration role. It does not involve building, training, or tuning machine learning models. Instead, you will focus on developing highly optimized math primitives, parallel algorithms, and GPU kernels that power industry-leading AI frameworks (such as OpenVINO, TensorFlow, PyTorch, and ONNX Runtime).

Key ResponsibilitiesKernel Development and Architecture
  • Develop high-performance GEMM, convolution, and attention kernels for AI workloads
  • Design scalable JIT and codegen infrastructure for GPU kernel generation
Low-Level Optimization
  • Implement fusion and memory-traffic optimizations to maximize hardware utilization
  • Optimize mixed-precision and quantized execution paths (e.g., BF16, FP16, INT8, FP8, FP4, etc.)
Performance Modeling and Profiling
  • Build analytical and empirical performance models for kernel dispatch and tuning
  • Profile and eliminate performance bottlenecks across oneDNN GPU primitives and runtime paths
Hardware and Software Co-Design
  • Co-design GPU primitives and kernel architectures for next-generation GPUs
  • Partner with hardware and compiler teams to shape future accelerator capabilities and software stacks
Infrastructure and Validation
  • Improve validation, benchmarking, and CI infrastructure for performance-critical GPU workloads
Why Join UsMassive Scale
  • Work on a global, high-impact open-source library that scales AI performance across millions of devices worldwide
Cutting-Edge Hardware
  • Get early access to and influence the software stack for the roadmap of next-generation discrete GPUs
Expert Collaboration
  • Work alongside industry-leading experts in GPU compilers, hardware architecture, and performance libraries
Total Rewards
  • Enjoy a competitive package including stock programs, quarterly bonuses, robust healthcare, and highly flexible hybrid/remote working options
What We're Looking For
  • A strong ownership mindset - you take initiative on complex, ambiguous technical problems and drive them to resolution
  • A collaborative approach - you work effectively across hardware, compiler, and framework teams to align on shared technical goals
  • A performance-driven curiosity - you are motivated by squeezing every cycle out of hardware and continuously seek deeper understanding of low-level systems
Minimum Qualifications
  • Education: BSc, MSc, or PhD in Computer Science, Computer Engineering, Mathematics, Physics, or a highly technical related field
  • Core Language: 5+ years of professional software development experience with expert-level modern C++
  • Performance Optimizations: 2+ years of hands-on experience in programming and kernel optimization on GPUs (via SYCL/DPC++, OpenCL, CUDA, or HIP), or at least 5+ years of similar low-level performance optimization experience on CPUs
  • Hardware Architecture: Strong foundations in computer architecture, cache hierarchies, memory subsystems, and parallel programming paradigms (e.g., multi-threading, SIMD/vectorization)
Preferred Qualifications
  • Math Libraries: Experience developing high-performance math libraries (e.g., GEMM, convolution, reduction, or FFT kernels)
  • Low-Level Tuning: Hands-on experience with GPU assembly-level tuning or compiler optimization
  • Parallel APIs: Familiarity with parallel programming APIs such as OpenMP or oneTBB
  • AI Workload Context: Basic understanding of deep learning primitives (e.g., forward/backward passes) to understand how library code is utilized by upstream frameworks
Job Type

Experienced Hire

Shift

Shift 1 (United States of America)

Primary Location

US, Oregon, Hillsboro

Additional Locations

US, California, Santa Clara

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at .

Annual Salary Range

Annual Salary Range for jobs which could be performed in the US: $195,200.00-275,580.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned site and off-site. Job posting details (such as work model, location or time type) are subject to change.

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