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Applied Math Jobs in Seattle, WA (NOW HIRING)

DAT

Senior Applied Scientist, Trust & Safety

Seattle, WA · On-site

$104K - $142K/yr

PhD or MS in Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, or another quantitative field. * 5+ years of experience developing and deploying machine learning ...

DAT

Senior Applied Scientist, Trust & Safety

Seattle, WA · On-site

$104K - $142K/yr

PhD or MS in Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, or another quantitative field. * 5+ years of experience developing and deploying machine learning ...

Opendoor

Applied Scientist AI/ML

Seattle, WA · On-site

... mathematics, or a related quantitative field • Solid foundation in statistics and experimental design • Strong communication and collaboration skills -- you're comfortable working with cross ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

... math, probability, statistics, and algorithms • Ability to write robust code in Python, Java, and R • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like ...

Echodyne Corp

Senior Radar Engineer

Kirkland, WA · On-site

$118K - $163K/yr

REQUIRED SKILLS / EXPERIENCE * BS in Electrical Engineering, Physics, Applied Math, or a related field with 5+ years of experience, or MS with 4+ years, or PhD with 2+ years. * Deep understanding of ...

Opendoor

Applied Scientist- Pricing

Seattle, WA · On-site

$156K - $335K/yr

About the Role We're looking for an Applied Scientist to work on some of the hardest quantitative ... Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research ...

Opendoor

Applied Scientist AI/ML

Seattle, WA · On-site

$156K - $355K/yr

About the Role We're looking for an Applied Scientist ( ALL LEVELS ) to push the boundaries of ... Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative ...

Lululemon

Staff AI/ML Applied Scientist

Seattle, WA · On-site

Core responsibilities As a Staff Applied AI/ML Scientist, you define, lead, and scale AI/ML ... Bachelor's degree in computer science, mathematics, or related field; Master's or PhD preferred * 9 ...

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All JobsApplied Math JobsApplied Math Jobs in Seattle, WA

Applied Math information

See Seattle, WA salary details

$25.6K

$67K

$107.5K

How much do applied math jobs pay per year?

As of Jun 27, 2026, the average yearly pay for applied math in Seattle, WA is $66,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,200.00 and $79,700.00 per year, depending on experience, location, and employer.

What are applied mathematicians?

Applied mathematicians are professionals who use mathematical theories, techniques, and computational methods to solve practical problems in fields such as engineering, science, business, and industry. They often develop models to analyze real-world phenomena, optimize processes, and predict outcomes. Applied mathematicians may work in diverse areas like data analysis, operations research, finance, and computer science, collaborating with experts from other disciplines to address complex challenges.

What is the difference between Applied Math vs Data Analyst?

AspectApplied MathData Analyst
Required CredentialsBachelor's or higher in Mathematics, Applied Math, or related fieldsBachelor's or higher in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, academia, finance, engineeringBusiness, finance, healthcare, marketing
Industry UsageModeling, simulations, algorithm developmentData interpretation, reporting, visualization
Common Search/ComparisonApplied Math vs Data Analyst

Applied Math and Data Analysts often share skills in statistical analysis and problem-solving. However, Applied Math focuses more on developing mathematical models and algorithms, while Data Analysts primarily interpret and visualize data to inform business decisions. Both roles are vital across industries, but their daily tasks and focus areas differ significantly.

What are some typical projects or problems an applied mathematician may work on within a multidisciplinary team?

Applied mathematicians often collaborate with experts from fields such as engineering, computer science, and finance to tackle real-world challenges. For example, they might develop algorithms for optimizing logistics and supply chains, create mathematical models to predict disease spread in healthcare, or analyze large data sets to inform business strategies. This collaboration typically involves regular meetings, data sharing, and iterative problem solving, making strong communication skills and adaptability essential for success in the role.

What are the key skills and qualifications needed to thrive as an Applied Mathematician, and why are they important?

To thrive as an Applied Mathematician, you need strong mathematical modeling, analytical, and problem-solving skills, usually supported by a degree in mathematics, applied mathematics, or a related field. Familiarity with programming languages (such as Python, MATLAB, or R), statistical software, and computational tools is typically required. Excellent communication, teamwork, and critical thinking abilities help translate complex mathematical concepts for diverse audiences and collaborative projects. These skills are vital for developing solutions to real-world problems across industries, ensuring accuracy, innovation, and practical impact.
What are popular job titles related to Applied Math jobs in Seattle, WA? For Applied Math jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Applied Math jobs in Seattle, WA look for? The top searched job categories for Applied Math jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Applied Math jobs? Cities near Seattle, WA with the most Applied Math job openings:
Applied Math jobs near you
Infographic showing various Applied Math job openings in Seattle, WA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $66,958 per year, or $32.2 per hour.
Senior Quantum Applied Research Scientist, Physics Modeling

Senior Quantum Applied Research Scientist, Physics Modeling

Nvidia Corporation

Redmond, WA • On-site

$110K - $140K/yr

Full-time

Posted 20 days ago

Job description

At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for a passionate scientist at the intersection of quantum device physics and advanced physics simulation and modeling. This role will path-find the future of high-fidelity, real-time models for fault-tolerant quantum hardware.
At NVIDIA, we want to help accelerate the entire quantum ecosystem. As a Sr. Quantum Applied Research Scientist, you will help design and build high-fidelity models grounded in device physics, calibration experiments, decoding, and system performance. You will develop physics-informed data generation pipelines, advanced physics models, and advanced noise models. Your research will translate qubit physics into performant, accelerated modeling systems for fault-tolerant quantum computing for both offline and real-time use. You will collaborate with teams across Product, Engineering, and Applied Research to push the frontier of Accelerated Quantum Supercomputers! Do you love developing new technology, enjoy working with people and teams around the world, and operating at the speed of light? If yes, we would love to hear from you!
What you'll be doing:
  • Research and develop advanced physics-based models and scalable simulation frameworks.
  • Build physics-informed synthetic data generation pipelines that leverage quantum device models, noise channels, and Hamiltonian characterization to produce high-quality datasets.
  • Develop detailed noise models of quantum hardware that capture device physics, decoherence, and drift behavior, enabling accurate performance prediction and parameter inference without full experimental overhead.
  • Develop GPU-accelerated implementations to ensure the full simulation and modeling pipeline scales.
  • Communicate research findings and collaborate with academic and industry partners to advance the field, while championing rapid innovation, technical depth, and creative problem solving.

What we need to see:
  • Masters Degree in Physics, Computer Science, Electrical Engineering, Applied Mathematics, or a related field (Ph.D. strongly preferred); or equivalent experience.
  • 8+ years of combined experience and high impact in quantum systems, physics-based modeling, simulation, or related research areas.
  • Hands-on expertise in developing high-fidelity models of physical systems, including numerical simulation and model validation.
  • Strong background in quantum device physics and information science, including noise models, error mechanisms, and fault-tolerant quantum systems across one or more qubit modalities.
  • Broad understanding of quantum control, such as pulse-level hardware interfaces and classical feedback through software abstractions.
  • Experience with scalable computing or accelerated systems for simulation, numerical methods, or modeling workflows.
  • Excellent communication and collaboration skills.

Ways to stand out from the crowd:
  • Hands-on experience developing simulation frameworks or digital twins of quantum systems and deploying them in calibration or control workflows, with awareness of fidelity, latency, and scalability tradeoffs.
  • Deep expertise in modeling, extracting, and validating noise processes, including system identification, parameter estimation, and uncertainty quantification.
  • Experience with physics-informed or generative approaches to synthetic data generation, including noise simulation, Hamiltonian learning, or data augmentation for scientific workflows.
  • Experience with modeling of more than one qubit modality, including neutral atom qubits.
  • Proficiency with CUDA and NVIDIA GPU programming for accelerating quantum simulation, numerical modeling, or large-scale scientific workloads.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 12, 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.
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

Year founded

1993

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