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Mathematics Phd Jobs in Oregon (NOW HIRING)

Intel

Middleware Development Engineer

Hillsboro, OR

$111K - $211K/yr

Advanced degree (Master's or PhD) in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or STEM-related field. * Proficiency in C and C++ programming. * Experience ...

Upstart

Applied Scientist

OR · On-site +1

Graduate degree in mathematics, applied mathematics, statistics, physics, econometrics, operations ... PhD in a quantitative field. * Knowledge of supervised learning, model evaluation, and feature ...

Sunrise Systems Inc

Be Seen First

Demand Planner 2_26-04332

Beaverton, OR · On-site

$40 - $42/hr

PhD or Law + 1 yr; Masters + 0-3 yrs; Associates degree + 1-3 yrs; High School + 3-5 yrs. On-site ... Retail math knowledge * General Excel familiarity * Tableau familiarity Desired soft skills: * Self ...

Skyworks

$22.50 - $42/hr

Preferably enrolled in a master's or PhD program in a STEM related field that involves programming (e.g. Computer Science, Computer Engineering, Mathematics, ...). Bachelor students may be considered ...

New

Nvidia

Senior Engineer - Quantum Error Correction Libraries

OR · On-site +1

$122K - $161K/yr

PhD or MS degree in Computer Science, Applied Mathematics, Physics, Electrical Engineering, or a related scientific or engineering field, or equivalent experience. 8+ years of relevant research or ...

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Mathematics Phd information

See Oregon salary details

$22.2K

$55.5K

$106.3K

How much do mathematics phd jobs pay per year?

As of Sep 2, 2026, the average yearly pay for mathematics phd in Oregon is $55,487.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,400.00 and $59,200.00 per year, depending on experience, location, and employer.

What is a mathematics PhD?

A Mathematics PhD job typically involves advanced research, teaching, and applying mathematical theories in academia, industry, or government. Mathematicians with a PhD may work as professors, researchers, data scientists, or analysts, solving complex problems in fields such as finance, engineering, and technology. Their roles often require deep theoretical knowledge, programming skills, and collaboration with experts from other disciplines.

What are typical career paths and advancement opportunities for someone with a mathematics PhD?

With a Mathematics PhD, professionals often pursue careers in academia as professors or researchers, as well as in industry roles such as data scientist, quantitative analyst, or applied mathematician. Advancement can involve moving from postdoctoral positions to tenure-track faculty, or progressing to senior research, technical lead, or management roles in private sector organizations. Many organizations value the ability to lead interdisciplinary projects and contribute original research, offering opportunities for publishing, speaking at conferences, and acquiring grants or patents. Career growth typically comes from building a strong research portfolio, developing specialized expertise, and demonstrating the ability to solve complex, high-impact problems. Collaborating across departments and industries can further broaden your career prospects and open doors to leadership positions.

What are the key skills and qualifications needed to thrive in the mathematics PhD position, and why are they important?

To thrive as a Mathematics PhD, you need deep expertise in advanced mathematics and statistical theory, typically demonstrated by an earned doctoral degree. Familiarity with computational tools such as MATLAB, R, Python, and mathematical modeling software is often required. Strong analytical thinking, creativity in problem-solving, and effective communication skills are highly valued. These abilities are crucial for producing original research, collaborating with interdisciplinary teams, and applying complex mathematical concepts to solve real-world problems.

Are mathematics PhDs in demand?

Mathematics PhDs are in demand in fields such as academia, data science, finance, and research, where advanced analytical and problem-solving skills are valued. Employment opportunities often require strong quantitative skills, programming knowledge, and research experience, with demand driven by data-driven decision making and technological advancements.

How much do mathematics PhDs make?

Mathematics PhDs typically earn between $70,000 and $120,000 annually, depending on the industry, experience, and location. Academic positions often start lower but can increase with tenure and research funding, while industry roles in finance, technology, or data science tend to offer higher salaries and additional benefits.

Is a mathematics PhD worth it?

A mathematics PhD can lead to careers in academia, research, data analysis, and quantitative roles, often requiring strong analytical and problem-solving skills. While it offers advanced expertise, the investment in time and cost varies, and job prospects depend on specialization and industry demand.

What jobs can I get with a PhD in Mathematics?

A PhD in Mathematics qualifies individuals for roles such as research mathematician, data scientist, quantitative analyst, operations researcher, or university professor. These positions often require strong analytical, problem-solving, and programming skills, and may involve working in academia, finance, technology, or government agencies.

What are popular job titles related to Mathematics Phd jobs in Oregon?

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

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

The top searched job categories for Mathematics Phd jobs in Oregon are:

What cities in Oregon are hiring for Mathematics Phd jobs?

Cities in Oregon with the most Mathematics Phd job openings:

Mathematics Phd jobs near you
Infographic showing various Mathematics Phd job openings in Oregon as of August 2026, with employment types broken down into 82% Full Time, 16% Part Time, 1% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $55,487 per year, or $26.7 per hour.

Senior GPU Performance Software Engineer

Intel

Hillsboro, OR • On-site, Remote

$195K - $275K/yr

Full-time

Medical, Retirement, PTO

Posted 7 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

18th of 160 rated electronics manufacturers

Job description

Job Details:Job Description: 

About the Role

The Software and AI (SAI) organization is seeking a highly skilled software engineer to contribute to the development and low-level optimization ofoneDNN, a complex, cross-platform, open-source performance library that serves as the foundation for deep learning applications (github.com/uxlfoundation/oneDNN).
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) on Intel hardware.
Key Responsibilities
Kernel 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 Intel 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 Us
Massive 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 Intel's 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
To be successful in this role, you should demonstrate the following professional traits:
  • 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
Qualifications:
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 HireShift:Shift 1 (United States of America)Primary Location: US, Oregon, HillsboroAdditional Locations:US, California, Santa ClaraPosting 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 TrustN/ABenefits

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 Intel.

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 Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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