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Perform operations research and simulation to support DoD/IC stakeholders: design and run simulation experiments (Monte Carlo), build and validate models, define data needs, analyze results, create reports/visualizations, and collaborate with engineers and scientists to inform strategic decisions.

Provides on-site administration and sustainment of servers, workstations, network devices, and multiple classified air-gapped networks. Responsibilities include Windows and Linux patch management, STIG compliance, system integration, backup and recovery, account and access control, troubleshooting, documentation, vulnerability remediation, and infrastructure security. The role supports Air Force missions, requires Top Secret clearance and DoD IAT Level II certification, and may require occasional after-hours support.

Design, implement, and improve a Kubernetes platform using GitOps, automation, Infrastructure-as-Code, and CI/CD. Ensure platform security, scalability, reliability, availability, monitoring, and performance. Collaborate with development teams, reduce technical debt, automate operational tasks, document processes, and provide technical guidance and progress updates to government leadership and product owners.

Design, build, test, and deploy geospatial analytic applications and data pipelines on Palantir Foundry and related Palantir platforms. Implement ontologies, data normalization, matching algorithms, and analytics for GEOINT; integrate external geospatial services (ESRI, OSM, OGC). Document architectures, define data provenance and acceptance criteria, and support RMF/A ATO processes in an intelligence/DoD context.

Develops and executes complex modeling, simulation, and analysis tools for directed-energy weapon systems. Uses C++, Python, AFSIM, statistical methods, AI/ML, and high-performance computing to perform mission-level simulations, trade studies, system effectiveness assessments, and live-fire test support. Coordinates analysis across teams and reports findings to senior management and Department of War customers.

Perform operations research and simulation-driven analysis using mathematical modeling, statistics, and optimization to support AFSIM-based M&S for defense and intelligence missions. Develop experimentation procedures, run high-fidelity simulations, analyze results, and coordinate with government stakeholders to improve operational effectiveness.

Develop physics-based models and simulation frameworks for RF electronic warfare, EO/IR, and IRCM systems. Integrate and refine sensor and communication system models, translate customer requirements, and contribute to model-based engineering and visualization tools within a core simulation environment supporting DoD customers.

Design and implement a Kubernetes platform, improve DevSecOps pipelines, ensure security and scalability, and collaborate with development teams for continuous improvement.

The Modeling and Simulation Engineer will develop solutions for M&S frameworks, work with software engineers, and ensure testing and verification of code. Experience with C++, C#, Python, and CI/CD tools is required.

The role involves analyzing and reverse engineering hardware and software, requiring extensive experience in software engineering and related tools.