ZipRecruiter

Log In

1

Software Engineer Applied Math Jobs in Seattle, WA

Sobek AI, Inc

Software Engineer, Applied AI

Seattle, WA · On-site

$170K - $230K/yr

We're hiring a Software Engineer to help build the production AI systems behind Sobek's core ... applied-AI team; * built evals or feedback loops that caught real regressions; * debugged ...

HackerOne

Software Engineer, Applied AI

Seattle, WA · On-site

$166K - $203K/yr

Software Engineer, Applied AI Location: Seattle, WA; Austin, TX; Boston, MA; Washington, DC 1 day onsite per week Position Summary At HackerOne, we're revolutionizing offensive security by combining ...

Highspot

Principal Software Engineer, Applied AI

Seattle, WA · On-site

$153K - $206K/yr

About the Role We are looking for a Principal Software Engineer to join our Applied AI team. This is a rare opportunity to work at the cutting edge of Generative AI and Agentic systems - applied ...

Highspot

Principal Software Engineer, Applied AI

Seattle, WA · On-site

$153K - $206K/yr

About the Role We are looking for a Principal Software Engineer to join our Applied AI team. This is a rare opportunity to work at the cutting edge of Generative AI and Agentic systems - applied ...

HackerOne

Senior Software Engineer, Applied AI

Seattle, WA · On-site

$190K - $230K/yr

Senior Software Engineer, Applied AI Location: Seattle, WA; Austin, TX; Boston, MA; Washington, DC 1 day onsite per week Position Summary At HackerOne, we're revolutionizing offensive security by ...

CoreWeave

Senior Software Engineer, Applied AI

Bellevue, WA · On-site

$182K - $242K/yr

Senior Software Engineer, Applied AI CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators ...

HackerOne

Staff Software Engineer, Applied AI

Seattle, WA · On-site

$230K - $280K/yr

Staff Software Applied AI Engineer Location: Seattle, WA; Austin, TX; Boston, MA; Washington, DC 1 day onsite per week Position Summary At HackerOne, we're advancing a new era of AI-powered offensive ...

CoreWeave

Senior Software Engineer, Applied AI

Seattle, WA · On-site

$182K - $242K/yr

As a Senior Software Engineer, you will design and build production-grade, full-stack applications that make data accessible, actionable, and embedded within CoreWeave's core workflows. You will ...

CoreWeave

Senior Software Engineer, Applied AI

Bellevue, WA · On-site

$137K - $181K/yr

As a Senior Software Engineer, you will design and build production-grade, full-stack applications that make data accessible and actionable, integrating AI capabilities into CoreWeave's workflows.

Amazon

Sr. Software Dev Engineer, Applied AI

Bellevue, WA · On-site

$138K - $182K/yr

We are seeking a passionate, talented, and inventive Senior Software Development Engineer to join the Applied AI team and help build industry-leading technologies that customers will love. This team ...

LVT

Senior Software Engineer II, Applied AI

Seattle, WA · On-site

$139K - $183K/yr

ABOUT THIS ROLE We are seeking a Senior Software Engineer, Applied AI to own end-to-end delivery of LVT's GenAI-powered security deterrence product. It sits directly on top of LVT's perception stack ...

LVT

Senior Software Engineer II, Applied AI

Seattle, WA

$139K - $183K/yr

ABOUT THIS ROLE We are seeking a Senior Software Engineer, Applied AI to own end-to-end delivery of LVT's GenAI-powered security deterrence product. It sits directly on top of LVT's perception stack ...

New

LVT

Senior Software Engineer II, Applied AI

Seattle, WA · On-site

$139K - $183K/yr

ABOUT THIS ROLE We are seeking a Senior Software Engineer, Applied AI to own end-to-end delivery of LVT's GenAI-powered security deterrence product. It sits directly on top of LVT's perception stack ...

next page

Showing results 1-20

All JobsSoftware Engineer Applied Math JobsSoftware Engineer Applied Math Jobs in Seattle, WA

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:
Software Engineer Applied Math jobs near you

Software Engineer, Applied AI

Sobek AI, Inc

Seattle, WA

$170K - $230K/yr

Other

Medical

Posted 11 days ago

Job description

About Us and the Role
At Sobek AI, we're building secure AI infrastructure for agentic workflows in life-sciences innovation networks and intergovernmental emergency response. Backed by $10M+ in grants and funding, we work with global, high impact partners on distributed workflows where reliability, security, and trust matter from day one. Our systems are already deployed in mission critical customer environments.
We're hiring a Software Engineer to help build the production AI systems behind Sobek's core offerings, sitting where agentic workflows meet enterprise data and trust boundaries.
This is a foundational role on the engineering team, so we're looking for someone who has shipped AI systems used by real users and has the software judgment to harden them for sensitive data and scale performance. This means experience with defining clear access boundaries, measurable quality, failure handling, and debuggable interfaces.
While this is not a research role, it does require practical ML and LLM fundamentals. You should understand enough about how models are trained, evaluated, served, and deployed to make sound engineering decisions when building with them.
What You'll Do
Build Production AI Workflows
  • Build agentic workflows over enterprise and government data, with clear rules for what a model can see, what tools it can call, and when a human needs to review or approve an action.
  • Design context and grounding systems that give models the right information at the right time without violating permissions or performance constraints.
  • Work across backend services, APIs, async workers, data pipelines, internal tools, and product facing surfaces.
Engineer Reliable LLM Systems
  • Build evals and feedback loops for model behavior and workflow outcomes.
  • Own tracing and runtime visibility across models, context, tool calls, generated outputs.
  • Debug failures from evidence: context, traces, tool responses, user review, production logs.
  • Improve quality without ignoring latency, cost, or security.
Build Reusable AI Systems
  • Create shared primitives for context assembly, grounding, tool use, and reviewable outputs.
  • Build systems that turn domain specific AI behavior into product infrastructure rather than one off customer logic.
  • Move quickly from prototype to production quality systems with founders and engineers.
Lead Through Ownership and Engineering Quality
  • Take ownership of important product and platform surfaces without needing heavy direction.
  • Write clean, maintainable code and create clear abstractions.
  • Use tools like Claude Code, Codex, ChatGPT, Cursor, and similar systems to move faster, while applying the same standards to generated code as hand written code.
  • This role requires treating LLMs not as black boxes to call, but as architectural components with failure modes and costs to manage.
About You
You have a track record of shipping production software and have built at least one AI product or workflow used by real users, ideally in an enterprise or scaled consumer environment.
You have strong software fundamentals and are fluent in Python and/or TypeScript. Our current stack spans React/TypeScript, Python services, gRPC, AWS, Kubernetes, Terraform, Snowflake, and Docker; exact stack match is less important than range and judgment.
You are comfortable with ambiguity and accompanying ownership.
Strong candidates may also have:
  • shipped production LLM or agentic workflows at an AI native startup, scaled AI product company, or serious applied-AI team;
  • built evals or feedback loops that caught real regressions;
  • debugged production failures in agent workflows, especially around grounding, tool use, or model/runtime boundaries;
  • built systems that operate over enterprise data with defined security boundaries;
  • worked in domains where wrong answers have serious consequences, such as scientific, medical, legal, financial, or public sector workflows;
  • owned meaningful product or platform surface area earlier than their title would suggest.
Details
  • Compensation: $170 K - $230 K
  • Location: Hybrid (Seattle, WA)
  • Visa: We do not sponsor visas for this role at this time
  • Benefits: Company-paid health coverage (including dependents)
  • Equity: Meaningful ownership for early engineers, with flexibility to extend for exceptional scope and impact.

Apply