Staff Python Engineer (Modeling & Simulation)

• 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

Benefits

• Relocation assistance for qualifying employees
• Paid Time Off (Uncapped Vacation, plus Sick & Public Holidays)
• Retirement Plan (401k, IRA)
• Health Care Plan (Medical, Dental & Vision)
• Flexible hybrid work arrangement

• Familiarity with machine learning tools and frameworks
• Professional experience with collaborative, enterprise-level software development in Python, delivering products to a large customer base
• Hands-on experience with Docker and containerized application development
• Experience gathering requirements from stakeholders and distilling them into software designs
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Experience building and delivering robust software using strong SDLC practices, including code review, testing, continuous integration, release management, and build systems
• Expertise building scalable APIs (REST, GraphQL, gRPC)
• 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
• 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
• 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
• Experience developing models for sensors, weapons, electronic warfare, jamming, communications, logistics, or command and control
• Direct experience developing AFSIM plugins, framework extensions, event infrastructure, or custom platform types
• Familiarity with agentic AI frameworks and solutions
• Active U.S. security clearance (Secret, Top Secret, or SCI/SAP)
• Familiarity with code analysis / static analysis
• Experience supporting Air Force, Space Force, joint, or broader DoD acquisition and mission-analysis programs
• Familiarity with HLA, DIS, OneSAF, JSAF, NGTS, STK, or other constructive and distributed simulation environments
• Experience working with cloud-based distributed systems (AWS, GCP, Azure)