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Job Description

Senior Software Engineer supporting a Multimode Threat Engagement Simulation Platform with a Julia backend, React/TypeScript/CesiumJS frontend, and CI/CD pipelines, focused on high performance scientific computing.

Responsibilities

  • Develop and optimize the Julia based physics computation service, including trajectory integration with RK4 and RK45 via DifferentialEquations.jl, SGP4 orbital propagation using SatelliteToolbox.jl, and a Monte Carlo driver that uses Threads.@threads for parallelism.
  • Profile performance-critical paths and benchmark throughput and latency to meet targets, such as executing 10,000 Monte Carlo runs within a defined wall-clock window.
  • Integrate ONNX.jl surrogate model inference to enable real-time parameter sweeps and ensure inference latency remains under 1 ms.
  • Generate CZML from physics outputs to visualize trajectory arcs, satellite orbital paths, and coverage footprints in time-dynamic Cesium visualization.
  • Design and maintain the mission data model, including JSON serialization, a versioned file format with backward compatibility, and cross-platform path handling for Windows and Linux.
  • Implement the HTTP.jl API layer with clear request and response schemas, robust error handling, and structured logging.
  • Build React/TypeScript components for the mission planning interface, including tabbed mission overview, asset and task tree views, mission parameter forms, and the analysis panel.
  • Integrate and maintain the CesiumJS/Resium 3D globe, including asset markers, trajectory rendering, satellite ground tracks, coverage footprints, and CZML-driven animation with the Cesium timeline.
  • Manage frontend state for mission data, UI state, and asynchronous physics query results using appropriate patterns for a data-heavy desktop style application.
  • Develop data driven analysis visualizations for trajectories, Pk curves, and Monte Carlo distribution charts using Recharts, Plotly.js, or equivalent.
  • Maintain the CI/CD pipeline in GitHub Actions, producing Windows NSIS installers and Linux AppImages from a single codebase.
  • Manage PackageCompiler.jl sysimage builds to generate the Julia physics server binary for both target platforms.
  • Maintain electron-builder configurations and platform specific packaging scripts; validate installer behavior on clean Windows and Linux test environments.
  • Implement build-time embedding of ONNX model files and asset resources, and manage versioning of bundled artifacts.

Requirements

  • U.S. citizenship
  • Active Secret Clearance
  • B.S. in Computer Science, Software Engineering, Electrical Engineering, Physics, or a related STEM field
  • 5+ years of software development experience with demonstrated depth in at least one area: scientific computing, numerical simulation, high performance computing, or data intensive desktop applications

Technologies

  • Julia
  • DifferentialEquations.jl
  • SatelliteToolbox.jl
  • ONNX.jl
  • CZML
  • CesiumJS
  • Resium
  • HTTP.jl
  • JSON
  • React
  • TypeScript
  • Recharts
  • Plotly.js
  • GitHub Actions
  • PackageCompiler.jl
  • ONNX Runtime
  • electron-builder
  • NSIS
  • AppImage
  • Python with NumPy/Numba/Cython extensions

Location and Travel

  • Location: Colorado Springs, CO or Boston, MA, with hybrid work options
  • Travel: approximately 15-20%

Benefits

  • Medical
  • Dental
  • Vision
  • Life insurance
  • Tricare supplement
  • Short-term disability
  • Long-term disability
  • 401(k) match
  • Flexible spending accounts
  • Health savings accounts
  • Employee assistance program
  • Learning and development benefit
  • Paid time off
  • Holidays

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