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Mathematics Phd Jobs in Oregon (NOW HIRING)

Staff Analyst

OR · On-site +1

$61K - $81K/yr

PhD in a quantitative field (e.g., Statistics, Mathematics, Economics, Finance, Operations Research, Physics, or related) * Experience and familiarity with finance, especially as it related to ...

Maybe you are finishing a PhD where you built custom optimization algorithms for physical systems, or you have a few years in industry applying advanced mathematical modeling to real engineering ...

New

Applied Scientist

OR · On-site +1

PhD in Mathematics, Statistics, Economics, Operations Research or a related field (or its equivalent) * Knowledge of causal machine learning methods and modeling approaches. * Ability to translate ...

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:

Senior Math Libraries Engineer - Dense Linear Algebra

OR · On-site +1

$100K - $136K/yr

PhD or MSc degree in Computational Science and Engineering, Computer Science, Applied Mathematics, or related science or engineering field (or equivalent experience) 5+ years of overall experience in ...

... Math) field of study with 5+ years of Semiconductor Industry experience (semiconductor processing ... PhD degree in Materials Science, Chemical Engineering, Chemistry, Physics, Electrical Engineering ...

Be Seen First

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 ...

Showing results 21-40

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 3, 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 cities in Oregon are hiring for Mathematics Phd jobs?

Cities in Oregon with the most Mathematics Phd job openings:

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 Software Engineer, CUTLASS Kernels

Nvidia

Hillsboro, OR • On-site

$133K - $175K/yr

Full-time

Re-posted 3 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's high-performance computing platforms are powering the AI revolution across many applications and industries. Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high-performance linear algebra and Tensor Core primitives. Since 2017, it has provided the community with C++ and Python abstractions to implement custom matrix multiply (GEMM) and related math and deep learning computations on NVIDIA GPUs.

If you are passionate about developing and optimizing math kernels to extract the highest performance out of the hardware architecture, apply to join the CUTLASS team today!

What you'll get to do:

  • Write Tensor Core-based deep learning kernels such as grouped-GEMM, attention, and convolution using CUTLASS CUDA C++ and Python DSL for Blackwell, Rubin, and future architectures.

  • Optimize kernels for peak throughput on both silicon and software performance simulators.

  • Collaborate with teams across NVIDIA including the GPU architecture, NVVM/PTX compiler, CUDA library, and DL frameworks teams to ensure fast, functional, and timely kernel delivery to customers.

What we need to see:

  • Masters or PhD degree in Computer Science, Computer Engineering, or related field (or equivalent experience).

  • 3+ years of relevant industry experience.

  • Strong proficiency in C++ programming and software design, including debugging, performance evaluation, and testing.

  • Experience with CUDA, OpenCL, HIP, SYCL, Mojo, Pallas, Triton, Mosaic, Halide, or any general-purpose or domain-specific programming language targeting highly parallel accelerators.

  • Deep understanding of computer architecture and some experience working at the assembly level.

Ways to stand out from the crowd:

  • Experience writing code specifically targeting NVIDIA Tensor Cores, particularly through PTX or CUDA/cuTile.

  • Open-source contributions to math kernel libraries or frameworks.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hard working people in the world working for us. If you're creative, autonomous, and love a challenge, consider joining our Deep Learning Library team and help us build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

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 June 5, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

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