GNC Software EngineerActive$447K

Anduril Industries
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The opportunity

At Anduril, our Battelspace Awareness Command and Control Software team specializes in solving complex, real-world problems through cutting-edge algorithms and intelligent software integrations. Operating in small, innovative teams, we push the boundaries of what's possible to…

What you'll do

  • Define and influence the direction of a small team within the Command and: Control Software organization, leveraging your subject-matter expertise in path planning and route optimization.

  • Prototype and deploy state-of-the-art algorithms for global and local path: planning, trajectory optimization, and multi-agent coordination within command and control systems.

  • Develop high-performance software for real-time C2 systems, ranging from: operator-facing mission planning tools to autonomous tasking and routing services that orchestrate fleets of unmanned platforms.

  • Design and implement robust planners, search algorithms, and decision-making: systems that generate safe, feasible, and optimal routes in dynamic, uncertain, and contested environments.

  • Analyze system performance using high-fidelity simulations, innovative: modeling tools, and rigorous statistical techniques to validate planner behavior across diverse mission scenarios.

  • Drive customer success by customizing algorithms and software for: mission-critical use cases, including collaborative autonomy, asset routing, and obstacle and threat avoidance.

What they're looking for

  • Integrate path planning technologies into the broader command and control: software stack and development lifecycle, from requirements definition through testing and optimization.
  • Translate technical progress into clear, actionable insights for diverse: stakeholders, including colleagues, operators, and end-users.
  • Proficiency in algorithm design, software development, and mathematical: modeling with programming expertise in C/C++, Python, and Matlab.
  • Strong knowledge of path planning techniques, such as graph-based search (A*,: D* Lite), sampling-based planners (RRT, RRT*, PRM), and lattice or grid-based planners.