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Software Engineer Applied Math Jobs in Seattle, WA

Senior Deep Learning Software Engineer

Redmond, WA · Hybrid

$137K - $180K/yr

We are looking for a Senior Deep Learning Software Engineer to design and build our automated ... Masters, PhD, or equivalent experience in Computer Science, AI, Applied Math, or related field ...

At Xevo, your work as a Software Development Engineer will remake the way every car works. We are ... applied mathematics. We have opportunities in Seattle and the Eastside. Basic Qualifications:

Required : • Relocation to the Madison, WI area (Reimbursed) • BS/BA or greater in Computer Science, Mathematics, Software Engineering, Computer Engineering, or a related field • A history of ...

Software Engineer III - Applied AI

Seattle, WA · On-site +1

$65.50 - $88/hr

We are seeking a skilled and self-directed Software Engineer III - Applied AI to join our enterprise search and AI team. You'll take meaningful ownership over the architecture and delivery of agentic ...

Required : • Relocation to the Madison, WI area (Reimbursed) • BS/BA or greater in Computer Science, Mathematics, Software Engineering, Computer Engineering, or a related field • A history of ...

Software Engineer III - Applied AI

Seattle, WA · On-site +1

$65.50 - $88/hr

We are seeking a skilled and self-directed Software Engineer III - Applied AI to join our enterprise search and AI team. You'll take meaningful ownership over the architecture and delivery of agentic ...

Software engineering * Applied cryptography * Network security * Operating system security * Secure/Authenticated boot * Incident response and adversary detection * Vulnerability research Being ...

Bachelor's degree in Computer Science, Engineering, Math, or a related field, or 2+ years of professional experience in software development. * Proficiency in programming languages such as C, C ...

Software engineering * Applied cryptography * Network security * Operating system security * Secure/Authenticated boot * Incident response and adversary detection * Vulnerability research Being ...

They are seeking a Cyber Full-Stack Software Engineer to design, develop, and enhance applications ... Science, Applied Mathematics, Physics, Statistics, or a similar technical field • 1-3+ years ...

Principal Research Software Engineer

Redmond, WA · On-site

$151K - $202K/yr

D. in Computer Science, Operations Research, Applied Mathematics, or a related field AND 10+ years ... MSRR Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD ...

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Showing results 1-20

Software Engineer Applied Math information

See Seattle, WA salary details

$72.3K

$167.9K

$233.9K

How much do software engineer applied math jobs pay per year?

As of Jun 21, 2026, the average yearly pay for software engineer applied math in Seattle, WA is $167,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,600.00 and $196,900.00 per year, depending on experience, location, and employer.

What types of projects do Software Engineers in Applied Math typically work on?

Software Engineers specializing in Applied Math are often involved in developing algorithms, simulations, and analytical software that solve complex, real-world problems in fields like finance, engineering, machine learning, or data science. Daily responsibilities may include implementing mathematical models, optimizing existing code for performance, and collaborating with cross-disciplinary teams to refine solutions. Depending on the employer, you might work on projects such as risk modeling, signal processing, optimization engines, or predictive analytics tools. This role frequently requires balancing theoretical problem solving with practical software implementation to deliver robust, scalable applications. Working closely with researchers, data scientists, and other engineers, you will contribute to innovation and technical excellence in your organization's projects.

What is a Software Engineer Applied Math job?

A Software Engineer in Applied Math develops and implements mathematical models, algorithms, and simulations to solve complex problems in various domains such as finance, engineering, and data science. They use programming languages like Python, C++, or MATLAB to create efficient solutions based on numerical analysis, optimization, and machine learning. This role often involves collaborating with scientists, analysts, and engineers to enhance computational methods and improve decision-making processes.

What are the key skills and qualifications needed to thrive in the Software Engineer Applied Math position, and why are they important?

To thrive as a Software Engineer Applied Math, you need a solid background in computer science, mathematical modeling, and software engineering, often supported by a relevant degree such as computer science, applied mathematics, or engineering. Expertise in programming languages (such as Python, C++, or MATLAB), experience with numerical libraries and data analysis tools, and familiarity with version control systems are typically required. Strong analytical thinking, effective problem-solving, and the ability to communicate complex technical concepts are important soft skills for this role. These skills enable you to build efficient software solutions for complex mathematical problems, drive innovation, and collaborate effectively within technical teams.

What are popular job titles related to Software Engineer Applied Math jobs in Seattle, WA? For Software Engineer Applied Math jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Software Engineer Applied Math jobs in Seattle, WA look for? The top searched job categories for Software Engineer Applied Math jobs in Seattle, WA are:
Senior Deep Learning Software Engineer

Senior Deep Learning Software Engineer

Nvidia

Redmond, WA • Hybrid

$137K - $180K/yr

Full-time

Posted 21 days ago


Job description

We are looking for a Senior Deep Learning Software Engineer to design and build our automated inference and deployment solution. As part of the team, you will be instrumental in defining a scalable architecture for DL inference with emphasis on ease-of-use and compute efficiency. Your work will span multiple layers of the DL deployment stack, encompassing developing features in high-level frameworks like PyTorch and JAX, designing and implementing a high-performance execution environment, low-level GPU optimizations and developing custom GPU kernels in CUDA and/or Triton. This is an exceptional opportunity for passionate software engineers straddling the boundaries of research and engineering, with a strong background in both machine learning fundamentals and software architecture & engineering.

What you'll be doing:

  • Play a pivotal role in defining of a modular, scalable platform to seamlessly bridge training and deployment workflows-enabling tight integration of deployment tooling with training frameworks such as Megatron and Nemo

  • Leverage and build upon the torch 2.0 ecosystem (TorchDynamo, torch.export, torch.compile, etc...) to analyze and extract standardized model graph representation from arbitrary torch models for our automated deployment solution.

  • Develop support for inference optimization techniques such as speculative decoding and LoRA.

  • Collaborate with teams across NVIDIA to use performant kernel implementations within the automated deployment solution.

  • Analyze and profile GPU kernel-level performance to identify hardware and software optimization opportunities.

  • Continuously innovate on the inference performance to ensure NVIDIA's inference software solutions (TRT, TRT-LLM, TRT Model Optimizer) can maintain and increase its leadership in the market.

What we need to see:

  • Masters, PhD, or equivalent experience in Computer Science, AI, Applied Math, or related field.

  • 8+ years of relevant work or research experience in Deep Learning.

  • Excellent software design skills, including debugging, performance analysis, and test design.

  • Strong proficiency in Python, PyTorch, and related ML tools.

  • Strong algorithms and programming fundamentals.

  • Good written and verbal communication skills and the ability to work independently and collaboratively in a fast-paced environment.

Ways to stand out from the crowd:

  • Contributions to PyTorch, JAX, or other Machine Learning Frameworks.

  • Knowledge of GPU architecture and compilation stack, and capability of understanding and debugging end-to-end performance.

  • Familiarity with NVIDIA's deep learning SDKs such as TensorRT.

  • Prior experience in writing high-performance GPU kernels for machine learning workloads in frameworks such as CUDA, CUTLASS, or Triton.

Increasingly known as "the AI computing company" and widely considered to be one of the technology world's most desirable employers. Are you creative, motivated, and love a challenge? If so, we want to hear from you! Come, join our model optimization group, where you can help build real-time, cost-effective computing platforms driving our success in this exciting and rapidly-growing field.

#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 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 28, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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