Senior Software Engineer

Position Summary

We are seeking a Senior Software Engineer to be a primary technical contributor on the Multimode Threat Engagement Simulation Platform. You will own significant portions of the stack end-to-end — building the Julia computation backend, the React/TypeScript/CesiumJS frontend, and the CI/CD pipeline that delivers standalone Windows and Linux artifacts — with a primary emphasis on high-performance and scientific computing. You will work closely with the Lead Engineer on architecture decisions and with domain engineers (RF, EO/IR) to implement their physics models in a performant, maintainable form.

 

This role demands genuine depth in high-performance compute application development. The backend is not a conventional web API — it runs trajectory integration, Monte Carlo simulation across thousands of runs, and real-time surrogate model inference. You should be comfortable profiling and optimizing numerical code, reasoning about parallelism, and making informed trade-offs between simulation fidelity and throughput.

 

***Contingent upon contract award***

Responsibilities

High-Performance Computation Backend

• Implement and optimize the Julia physics computation server: trajectory integration (RK4/RK45 schemes via DifferentialEquations.jl), SGP4 orbital propagation (SatelliteToolbox.jl), and Monte Carlo driver with Threads.@threads parallelism
• Profile and optimize computation-critical paths; benchmark throughput and latency against program requirements (e.g., 10,000 Monte Carlo runs within a defined wall-clock target)
• Integrate ONNX.jl surrogate model inference for real-time parameter sweep capabilities; ensure inference latency meets the <1ms interactive target
• Implement CZML generation from physics outputs — trajectory arcs, satellite orbital paths, coverage footprints — for time-dynamic Cesium visualization
• Design and maintain the mission data model: JSON serialization, versioned file format with backward compatibility, and cross-platform path handling for Windows and Linux
• Implement the HTTP.jl API layer with well-defined request/response schemas, appropriate error handling, and structured logging

Frontend and Visualization

• Build React/TypeScript components for the mission planning interface: tabbed mission overview, asset and task tree views, mission parameter forms, and the analysis panel
• Integrate and maintain the CesiumJS/Resium 3D globe: asset markers, trajectory rendering, satellite ground tracks, coverage footprints, and CZML-driven animation with the Cesium timeline
• Manage frontend application state (mission data, UI state, async physics query results) using appropriate state management patterns for a data-heavy desktop application
• Implement data-driven analysis visualizations — trajectory plots, Pk curves, Monte Carlo distribution charts — using Recharts, Plotly.js, or equivalent

DevOps and Cross-Platform Packaging

• Maintain the CI/CD pipeline in GitHub Actions: automated builds producing Windows NSIS installers and Linux AppImages from a single codebase
• Manage PackageCompiler.jl sysimage builds for the Julia physics server binary on both target platforms
• Maintain electron-builder configuration 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; manage versioning of bundled artifacts

 

***Contingent upon contract award***

Qualifications

Citizenship: Must be a US citizen

 

Minimum Required Qualifications

Clearance: Active Secret Clearance

Education: B.S. in Computer Science, Software Engineering, Electrical Engineering, Physics, or related STEM field

Years of Experience: 5+ years of software development experience, with demonstrated depth in at least one of the following areas: scientific computing, numerical simulation, high-performance computing, or data-intensive desktop applications

Certifications: NA

 

Additional Skills

• Proficiency in TypeScript/React or equivalent modern frontend framework
• Experience with a compiled or JIT-compiled high-performance language (Julia, C++, Rust, Fortran, or Python with NumPy/Numba/Cython extensions)
• Understanding of parallel computing patterns relevant to numerical workloads: thread-level parallelism, SIMD, memory-access optimization
• Experience with REST API design and implementation as a client-server boundary within