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Methodology Jobs in Oregon (NOW HIRING)

Nvidia

Deep Learning Compiler Engineer

OR · On-site +1

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.

East West College

Kinesiology 1 Instructor

Portland, OR · On-site

The ideal candidate will combine subject matter expertise with engaging teaching methods to prepare students for successful careers in massage therapy. Primary Responsibilities * Deliver introductory ...

Legacy Health

Engineer EH

Portland, OR · On-site

$48.54/hr

Overview Each member of our Legacy community contributes in a meaningful way to the exceptional care we provide. As an Engineer , your expertise in maintaining and repairing physical plant systems ...

East West College

Kinesiology 1 Instructor

Portland, OR · On-site

The ideal candidate will combine subject matter expertise with engaging teaching methods to prepare students for successful careers in massage therapy. Primary Responsibilities * Deliver introductory ...

Nvidia

Senior Formal Verification Engineer - LPU

OR · On-site +1

$104K - $143K/yr

Methodology Leadership: Develop and implement advanced formal verification environments and methodologies for complex ASIC designs, including automated flows for scalability and efficiency

Nvidia

Senior Formal Verification Engineer - LPU

OR · On-site +1

$104K - $143K/yr

Verify AI-related sophisticated ASIC designs & features with formal verification methods. Multi-functional Collaboration: Partner with architecture/RTL teams to specify properties, resolve deep ...

Intel

Process Integration Development Engineer

Hillsboro, OR · On-site

$111K - $140K/yr

The Integrated QR team develops and executes integrated reliability methodologies, defect reliability assessments, HTOL/ELFR certification strategies, ELF modeling, and MTS quality systems that ...

Intel

DFT Application Engineer

Hillsboro, OR · On-site

Provide comprehensive DFT tool/flow/methodology support to address customer issues and challenges, ensuring successful tape-outs and maximum customer satisfaction * Work closely with internal Intel ...

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All JobsMethodology JobsMethodology Jobs in Oregon

Methodology information

See Oregon salary details

$5

$51

$95

How much do methodology jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for methodology in Oregon is $51.64, according to ZipRecruiter salary data. Most workers in this role earn between $38.84 and $61.62 per hour, depending on experience, location, and employer.

What is a methodology?

Methodology jobs involve developing, evaluating, and implementing systematic approaches or methods for conducting research, analysis, or projects. Professionals in these roles design frameworks to ensure that data collection, analysis, and interpretation are consistent, reliable, and valid. They often work in fields such as research, statistics, social sciences, and market analysis, providing guidance on best practices and innovative methods. These roles are critical to ensuring the accuracy and credibility of findings in both academic and professional settings.

What are the key skills and qualifications needed to thrive as a methodologist?

To thrive as a Methodologist, you need strong analytical skills, expertise in research design, and typically a background in statistics or a related field. Familiarity with statistical analysis software (such as SPSS, R, or SAS) and experience with data collection methodologies are commonly required. Attention to detail, critical thinking, and effective communication are soft skills that help Methodologists collaborate and present findings clearly. These skills ensure rigorous, reliable research processes and enable informed decision-making based on accurate data.

What are some common challenges faced by professionals working in methodology development teams within organizations?

Professionals focused on methodology development often encounter challenges such as balancing the need for standardization with organizational flexibility, ensuring stakeholder buy-in, and keeping methodologies up-to-date with evolving industry best practices. Team members must frequently collaborate across departments to gather input and address varying needs, which can lead to complex negotiation and communication dynamics. Staying current with regulatory changes and technological advancements is also crucial, as methodologies must remain relevant and effective in a rapidly changing environment.

What is the difference between Methodology vs Data Analyst?

AspectMethodologyData Analyst
Required credentialsOften no formal credentials, but familiarity with research methods and frameworksBachelor's degree in statistics, data science, or related field; certifications like CAP or Microsoft Certified Data Analyst
Work environmentDesigning research approaches, frameworks, and processes; often in research, consulting, or academic settingsAnalyzing data sets, creating reports, and visualizations; in corporate, finance, healthcare, or tech industries
Employer and industry usageUsed by researchers, consultants, and project managers to structure investigationsEmployed by companies across industries to interpret data and support decision-making

While Methodology focuses on designing research frameworks and approaches, Data Analysts apply these methods to interpret data and generate insights. Both roles are essential in research and data-driven environments, but Methodology is more about planning, whereas Data Analysts execute data analysis tasks.

What are popular job titles related to Methodology jobs in Oregon?

For Methodology jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Methodology jobs in Oregon look for?

The top searched job categories for Methodology jobs in Oregon are:

Methodology jobs near you
Infographic showing various Methodology job openings in Oregon as of August 2026, with employment types broken down into 80% Full Time, 15% Part Time, 4% Contract, and 1% Nights. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $107,411 per year, or $51.6 per hour.

Deep Learning Compiler Engineer

Nvidia

OR • On-site, Remote

Full-time

Posted 13 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

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 hiring software engineers for the Tensor IR & CUDA Tile team. NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large language models, recommendation systems, speech recognition, image classification and other areas.

Come join us to work with a top-notch team and have broad impact across the entire deep learning community. What you'll be doing: In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA Tile is a new tile-based programming model that shipped with CUDA 13.1, and TensorIR is an open-source compiler infrastructure project that uses CUDA Tile to generate high-performance GPU kernels

You will design and implement compiler transformations, develop MLIR-based dialects and lowering passes, and optimize the performance of tile-based kernels to ensure they execute efficiently across multiple generations of NVIDIA GPU architectures. The scope of these efforts includes defining public APIs, crafting and implementing compiler and optimization techniques, performance optimization, and other general software engineering work. What we need to see: Bachelors, Masters or Ph.D

in Computer Science, Computer Engineering or a related field (or equivalent experience) 3+ years of relevant work or research experience in compiler optimization, performance analysis and IR design. Ability to work independently, define project goals and scope, and lead your own development effort. Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.

Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team. Ways to stand out from the crowd: Knowledge of CPU and/or GPU architecture. CUDA or OpenCL programming experience.

Experience with the following technologies: MLIR, LLVM, XLA, TVM and deep learning models and algorithms. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.

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. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 27, 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. #deeplearning.

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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