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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 systems behind Sobek's core offerings ... applied-AI team; * built evals or feedback loops that caught real regressions; * debugged ...

Sobek AI

Software Engineer, Applied AI

Seattle, WA

$170K - $230K/yr

We're hiring a software engineer to help build the production systems behind Sobek's core offerings ... 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 ...

hackerone

Software Engineer, Applied AI

Seattle, WA · On-site

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 ...

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

$139K - $183K/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 ...

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 ...

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 ...

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 ...

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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 Jul 13, 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 jobs can I do with an applied math degree?

A software engineer with an applied math degree can work in roles such as data scientist, quantitative analyst, operations researcher, or machine learning engineer. These positions often require strong analytical skills, programming knowledge in languages like Python or R, and familiarity with algorithms and statistical modeling.

Can you get a software engineer job with a math degree?

A math degree can provide a strong foundation for a software engineer position, especially when combined with programming skills in languages like Python, Java, or C++. Employers often value problem-solving abilities and quantitative skills from math backgrounds, and additional experience with software development tools and algorithms can improve job prospects.

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.

Can I be an engineer with an applied math degree?

A software engineer with an applied math degree can qualify for many roles, especially those involving algorithms, data analysis, or modeling. Success often depends on gaining programming skills in languages like Python or C++, and sometimes obtaining certifications or experience in software development environments. Employers value strong analytical skills and problem-solving abilities from applied math backgrounds.

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.

Does the FBI hire mathematicians?

The FBI hires mathematicians, often under roles such as Intelligence Analysts or Cryptanalysts, who use advanced mathematical and analytical skills. These positions typically require a strong background in applied mathematics, computer science, or related fields, and may involve working with data analysis, cryptography, and intelligence operations.
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
Infographic showing various Software Engineer Applied Math job openings in Seattle, WA as of July 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $167,886 per year, or $80.7 per hour.

Software Engineer, Applied AI

Sobek AI, Inc

Seattle, WA • On-site

$170K - $230K/yr

Full-time

Medical

Re-posted 3 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 systems behind Sobek's core offerings. The work sits where AI powered workflows meet backend services, enterprise data, observability, and product surfaces.
This is a foundational role on the engineering team. We're looking for someone who has shipped real software used by customers and has hands on experience building AI or LLM-powered systems. You should be able to reason about model behavior, data access, evaluation, and production reliability as engineering problems,.
What You'll Do
Build Production AI Workflows
  • Build AI powered 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.
Build Product and Platform Infrastructure
  • Design and ship services, data workflows, permissioning, and orchestration components that multiple Sobek products rely on.
  • Build systems that operate over sensitive data with clear access boundaries, auditability, and predictable performance.
  • Turn prototypes and customer specific workflows into reusable product infrastructure rather than one off logic.
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.
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, and similar systems to move faster, while applying the same standards to generated code as hand written code.
  • Treat 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 used by real customers, and you have hands on experience building AI or LLM-powered systems.
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.
Especially strong candidates may 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.

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