AFSIM Modeler/Software Engineer

Salary Range: 145000 to 185000 (Currency: USD) (Pay period: per-year-salary)

We are building a breakthrough platform for next-generation geospatial intelligence and defense applications, and we're looking for an AFSIM Modeler/Software Engineer to help extend our simulation and analytics capabilities. In this role, you'll bring hands-on experience with AFSIM (Advanced Framework for Simulation, Integration, and Modeling) to help develop mission-level analytics, simulation models, and integrations within a modern software environment. You'll work at the intersection of simulation, software engineering, and aerospace systems, using your understanding of established mission modeling frameworks while helping apply that expertise to next-generation simulation environments.

This is a hands-on engineering role. We're looking for someone who enjoys writing code, solving complex technical problems, and building simulation capabilities. You don't need to be a senior defense analyst or program lead; we're looking for strong technical fundamentals and practical AFSIM experience.

Location: Redmond, WA preferred; remote candidates will be considered for the right fit.

Responsibilities:

• Develop, configure, and maintain AFSIM models and simulation scenarios representing complex aerospace and defense systems.
• Design and implement models for aircraft, weapons, sensors, communications, electronic warfare, and other mission systems.
• Develop software, scripts, and tooling to extend AFSIM capabilities and automate simulation workflows.
• Build reusable modeling components and infrastructure that can support multiple simulation scenarios and use cases.
• Translate system requirements, technical specifications, and operational concepts into robust simulation models.
• Integrate models and software components into larger simulation environments.
• Run simulations, debug model behavior, investigate unexpected results, and improve model fidelity and performance.
• Develop automated workflows for scenario generation, simulation execution, data collection, and results processing.
• Analyze simulation outputs to validate model behavior and identify opportunities to improve the underlying implementation.
• Collaborate closely with software engineers, systems engineers, and subject-matter experts to ensure models accurately represent real-world systems.
• Participate in code reviews, technical design discussions, testing, and documentation.
• Help establish best practices for AFSIM development, testing, version control, and reusable model architecture.

Professional Qualifications:

• 2+ years of hands-on AFSIM experience, including developing or modifying models and scenarios.
• Strong software development skills in C++, Python, or a similar programming language.
• Experience building or working with simulation models, ideally involving aerospace, defense, robotics, autonomous systems, or other complex technical systems.
• Ability to read and understand existing code and simulation architectures and make meaningful modifications independently.
• Experience debugging complex software or simulation behavior and systematically identifying the underlying cause.
• Strong understanding of software engineering fundamentals, including version control, testing, debugging, and code quality.
• Ability to translate real-world system behavior and technical requirements into software and simulation models.
• Strong analytical and problem-solving skills.
• Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, Operations Research, or a related technical field, or equivalent practical experience.

Preferred Qualifications:

• Experience integrating AFSIM with other simulation, modeling, analytics, or software environments.
• Experience developing custom AFSIM plugins, models, or extensions.
• Experience with AFSIM's modeling architecture, interfaces, or APIs.
• Experience with aircraft, weapons, sensors, ISR, electronic warfare, communications, or air combat systems.
• Experience modeling crewed and uncrewed platforms.
• Experience with simulation automation, scenario generation, Monte Carlo analysis, or large-scale simulation runs.
• Experience with Linux-based development environments and Git.
• Familiarity with systems engineering, mission-level analysis, or operations analysis.
• Experience working in classified environments.