Our Modeling & Simulation team is building the next-generation wargaming and decision-support platform that helps the DoW make multi-billion-dollar force-design decisions before those decisions are made in the real world. The team spans simulation and physics, backend and data systems, frontend and geospatial visualization, and AI systems, working together to turn operational questions into extensible, mission- and campaign-level simulations that government users can trust.
In this role, you will help build the Python services, pipelines, and tooling that drive the core wargaming simulation. You will design backend services and APIs that interface with the frontend, integrate with multiple simulators, manage the data, and expose results to analysts, model developers, and government stakeholders. Scope of ownership, architectural authority, and mentorship responsibility scale with level - see "Level Expectations by Track" below.
You'll develop the backend infrastructure that interfaces with agentic AI and machine learning pipelines to support platform, sensor, behavior, and decision models used across the simulation, while building extensible, well-tested foundations for the broader wargaming platform. You'll help design scenario-generation, Monte Carlo, sensitivity-analysis, and campaign-evaluation workflows, and build the distributed, cloud-scale infrastructure that lets simulations run across developer workstations, on-premises infrastructure, and cloud compute while preserving reproducibility and model provenance. Strong command of cloud services and distributed architectures is essential.
About the role- Design and implement backend services and APIs that orchestrate mission- and campaign-level simulation runs, collect their outputs, and expose results to analysts and government stakeholders.
- Build scenario-generation, operational and mission planning workflows, and key services for Monte-Carlo based sensitivity-analysis for our wargaming and decision-support platform.
- Build distributed, cloud-scale infrastructure that scales simulations across developer workstations, on-premises infrastructure, and cloud compute while preserving reproducibility and model provenance.
- Build data ingestion, normalization, and analysis pipelines that turn raw simulation output into decision-ready insight for defense users.
- Build scalable APIs (REST, GraphQL, gRPC) and containerized services that connect the Python tooling layer to the core simulation runtime and downstream analysis tools.
- Gather requirements from government stakeholders, domain experts, and analysts, and distill them into clear software designs.
- Employ strong SDLC practices throughout - code review, testing, continuous integration, release management, and build systems.
Required Qualifications:- Professional experience with collaborative, enterprise-level software development in Python, delivering products to a large customer base.
- Experience gathering requirements from stakeholders and distilling them into software designs.
- Experience building and delivering robust software using strong SDLC practices, including code review, testing, continuous integration, release management, and build systems.
- Familiarity with machine learning tools and frameworks.
- Expertise building scalable APIs (REST, GraphQL, gRPC).
- Hands-on experience with Docker and containerized application development.
- Eligible to obtain and maintain an active U.S. Top Secret security clearance.
Preferred Qualifications:- Familiarity with agentic AI frameworks and solutions.
- Familiarity with code analysis / static analysis.
- Experience working with cloud-based distributed systems (AWS, GCP, Azure).
- Active U.S. security clearance (Secret, Top Secret, or SCI/SAP).
- Direct experience developing AFSIM plugins, framework extensions, event infrastructure, or custom platform types.
- Familiarity with HLA, DIS, OneSAF, JSAF, NGTS, STK, or other constructive and distributed simulation environments.
- Experience supporting Air Force, Space Force, joint, or broader DoD acquisition and mission-analysis programs.
- Experience developing models for sensors, weapons, electronic warfare, jamming, communications, logistics, or command and control.
Staff Level Expectations- Years of Experience: 7+
- Engineering Craft & Code Quality: Defines and enforces the team's testing strategy, standards, and quality bar; ensures AI-generated output is tightly integrated into existing paradigms and robustly tested.
- Architecture & Technical Knowledge: Designs cross-cutting changes across the stack; provides architectural guidance across the team; owns design docs for major multi-service or multi-surface projects.
- Delivery, Scoping & De-risking: Owns technical scoping and execution strategy for complex, multi-sprint initiatives; audits requirements for technical risk and hidden dependencies before development begins.
- Technical Leadership & Mentorship: The primary technical gatekeeper for the team's codebase; reviews most high-impact work; leads technical grooming, design spikes, and RFCs; coordinates across pods when changes cross domain boundaries.
Benefits- Pay depends on experience, but we strive to be at the upper end of the salary range
- Health care plan with 100% premium coverage, including medical, dental, and vision
- 401k with 5% matching
- Paid Time Off (uncapped vacation, plus sick and public holidays)
- Flexible hybrid or remote work arrangement
- Relocation assistance for qualifying employees
Wage Transparency - The salary range for this role is not a guarantee of compensation or salary, as the final offer amount may vary based on factors including, but not limited to, individual proficiency, skills, experience, and location.
