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Phd Math Jobs in Seattle, WA (NOW HIRING)

Constellation Space

Principal Wireless Engineer

Seattle, WA · On-site

$150K - $250K/yr

Develop the mathematical models and algorithms that simulate complex SATCOM and terrestrial network ... You hold a PhD (or possess equivalent industry experience) in Physics, Electrical Engineering ...

New

Point72

Cubist Quantitative Researcher

Seattle, WA

S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline. * Programming in Python (or comparable language) and working ...

Infotech Sourcing

Systems Engineer V

Redmond, WA · On-site

Qualifications (Must have) BSc/MSc/PhD in Physics, Mathematics, Aerospace Engineering, Optical Sciences, Electrical Engineering, Computer Science or a related experience Track record of software ...

Conversica, Inc

Data Scientist

Seattle, WA · On-site

... Mathematics, or Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing; Masters/PhD preferred. Ideally we would like to see someone that has been ...

lululemon

Staff AI/ML Applied Scientist

Seattle, WA · On-site

Required : • Bachelor's degree in computer science, mathematics, or related field; Master's or PhD preferred • 9-12 years of AI/ML research in industrial/corporate setting, or equivalent research ...

Infotech Sourcing

Systems Engineer V

Redmond, WA

Qualifications (Must have) BSc/MSc/PhD in Physics, Mathematics, Aerospace Engineering, Optical Sciences, Electrical Engineering, Computer Science or a related experience Track record of software ...

NVIDIA

Senior AI Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

Qualifications : Required : • BS/MS/PhD in Computer Science or related field (or equivalent ... Lisp/Scheme • Solid mathematical and scientific foundation relevant to ML and compiler ...

Nvidia

Senior Software Engineer, CUTLASS Kernels

Redmond, WA · On-site

$137K - $180K/yr

If you are passionate about developing and optimizing math kernels to extract the highest ... Masters or PhD degree in Computer Science, Computer Engineering, or related field (or equivalent ...

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All JobsPhd Math JobsPhd Math Jobs in Seattle, WA

Phd Math information

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How much do phd math jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for phd math in Seattle, WA is $31.62, according to ZipRecruiter salary data. Most workers in this role earn between $21.35 and $33.37 per hour, depending on experience, location, and employer.

Is a PhD in math worth it?

A PhD in math prepares individuals for careers in academia, research, data analysis, and quantitative roles, often requiring strong analytical and problem-solving skills. While it can lead to high-level positions, the degree involves significant time and financial investment, and job prospects vary depending on the industry and geographic location.

What are PhD Math graduates qualified to do after earning their degree?

PhD Math graduates are equipped for a range of careers that require advanced mathematical knowledge and research skills. Many pursue academic positions as professors or researchers at universities, while others work in industry roles such as data scientists, quantitative analysts, or mathematicians in government and private sectors. Their expertise is valuable in finance, technology, engineering, and consulting, where complex problem-solving and analytical abilities are essential. Additionally, some contribute to interdisciplinary research, policy analysis, or science communication.

What jobs can a math PhD get?

A math PhD can pursue careers in academia as a researcher or professor, as well as in industry roles such as data scientist, quantitative analyst, operations researcher, or software engineer. These positions often require strong analytical, programming, and problem-solving skills, and may involve working with large datasets, mathematical modeling, or algorithm development.

What do people with a PhD in mathematics do?

People with a PhD in mathematics often work as researchers, data scientists, quantitative analysts, or university professors. They apply advanced mathematical theories, modeling, and statistical tools to solve complex problems across industries such as finance, technology, academia, and government. These roles typically require strong analytical skills and proficiency with programming languages like Python or R.

What are the key skills and qualifications needed to thrive as a PhD-level Mathematician, and why are they important?

To thrive as a PhD-level Mathematician, you need advanced expertise in mathematical theory, analytical reasoning, and problem-solving, typically supported by a doctoral degree in mathematics or a related field. Familiarity with programming languages (such as Python or MATLAB), mathematical modeling software, and experience with academic research tools are commonly required. Strong communication, perseverance, and collaboration skills help stand out when presenting findings and working in interdisciplinary teams. These competencies are crucial for contributing original research, solving complex problems, and advancing mathematical knowledge in academic or industry settings.

What is the difference between Phd Math vs Data Scientist?

AspectPhd MathData Scientist
Required CredentialsPhD in Mathematics or related fieldBachelor's or Master's in CS, Stats, or Math; often prefers PhD
Work EnvironmentAcademic, research institutions, or R&D departmentsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, governmentBusiness analytics, machine learning, data analysis
Common Search/ComparisonYesYes

While both roles require strong analytical skills, a Phd Math typically focuses on theoretical research and academic or research institution work. In contrast, a Data Scientist applies statistical and mathematical techniques to solve practical business problems in industry settings. The credentials overlap, but the work environment and application focus differ significantly.

Are math PhDs in demand?

Math PhDs are in demand in fields such as academia, data science, finance, and research institutions, where advanced analytical and problem-solving skills are valued. Employment opportunities often require strong quantitative skills, programming knowledge, and the ability to apply mathematical theories to real-world problems.

What are the typical collaborative opportunities for someone in a PhD-level mathematics role?

PhD-level mathematicians often work within interdisciplinary teams, collaborating with professionals in fields like computer science, engineering, economics, and data science. These collaborations usually involve joint research projects, problem-solving sessions, or co-authoring academic papers. Mathematicians may also work closely with industry partners to apply theoretical models to real-world challenges, such as optimizing algorithms or analyzing large data sets. This teamwork fosters both professional growth and the opportunity to see the practical impact of mathematical research.
What are popular job titles related to Phd Math jobs in Seattle, WA? For Phd Math jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Phd Math jobs in Seattle, WA look for? The top searched job categories for Phd Math jobs in Seattle, WA are:
Phd Math jobs near you

Principal Wireless Engineer

Constellation Space

Seattle, WA • On-site

$150K - $250K/yr

Full-time

Posted 17 hours ago

Job description

Role
We are looking for a high-agency Principal Wireless Engineer to be the ultimate authority on the physics and RF dynamics of our simulation engine. You will work directly with the founding team to architect the mathematical models that allow our software to accurately predict how, when, and why satellite and ground station links degrade. Your work will directly translate into the core logic of ConstellationOS, ensuring our predictive capabilities hold up in high-stakes commercial and defense deployments.

What You’ll Do

  • Own the Physics of Failure: Develop the mathematical models and algorithms that simulate complex SATCOM and terrestrial network degradation. You will account for Doppler shifts, dynamic handovers, latency spikes, and hardware constraints across varied orbital regimes.

  • High-Fidelity Environmental Modeling: Drive the integration of high-resolution weather and atmospheric datasets (e.g., ERA5, GOES-R, ASOS) into our simulation engine to accurately model rain fade, scintillation, and tropospheric/ionospheric interference.

  • Bridge Science and Software: Translate deep physics, RF constraints, and link budgets into actionable architectural logic. You will collaborate closely with our engineering team to ensure your models are seamlessly integrated into the ConstellationOS codebase (Python/C++/Rust).

  • Applied Research & Edge Cases: Analyze data from our active commercial pilots and defense evaluations to continuously validate and refine our simulation's realism against real-world telemetry.

Who You Are

  • The Domain Expert: You hold a PhD (or possess equivalent industry experience) in Physics, Electrical Engineering, Aerospace Engineering, or a closely related field, with a deep focus on RF propagation, SATCOM, or atmospheric science.

  • Systems-Level Thinker: You understand traditional terrestrial networking (BGP, OSPF, MPLS) and how it intersects with space-based routing. You know how packets move and the exact physical phenomena that cause them to drop.

  • Relentlessly Resourceful: You thrive in the unstructured environment of a seed-stage, hard-tech startup. You are a "problem-finder" who can independently identify gaps in our models and build the mathematical solutions without waiting for a roadmap.

About the interview

  1. Introductory Call (30 mins): A quick conversation with our CTO to discuss your background, the ConstellationOS vision, and mutual fit.

  2. Technical Deep Dive (Case Study): A practical exercise where we walk through a real-world link failure scenario. You'll help us identify the specific variables (RF physics, network congestion, hardware constraints) required to model that failure with 100% fidelity.

  3. Final Interview (Onsite/Video): A deep dive with the founding team to discuss your problem-solving approach, technical roadmap, and how you'll bridge the gap between hardware physics and our software engine.

Compensation Range: $150K - $250K