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GNC Software Engineer

Anduril· Mission Systems : Battlespace Awareness Engineering
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Waltham, MA$166k - $220kFull-timePosted 1mo ago

About the role

Anduril Industries is seeking a GNC Software Engineer to join a small, mission-focused team developing path planning, trajectory optimization, and multi-agent coordination for real-time command and control systems.

Responsibilities

  • Define and influence the direction of a small team within the Command and Control Software organization, leveraging 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, including operator-facing mission planning tools and autonomous tasking/routing services for 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 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/threat avoidance.
  • Integrate path planning technologies into the broader command and control software stack and development lifecycle, from requirements through testing and optimization.
  • Translate technical progress into clear, actionable insights for stakeholders including colleagues, operators, and end-users.

Qualifications

  • Proficiency in algorithm design, software development, and mathematical modeling with programming expertise in C/C++, Python, and Matlab.
  • Strong knowledge of path planning techniques (graph-based search such as A*, D* Lite; sampling-based planners like RRT, RRT*, PRM; lattice/grid-based planners).
  • Demonstrated experience in guidance, navigation, and control (GNC); trajectory optimization; and/or predictive models for vehicle dynamics and weapon system effectiveness (e.g., 6-DoF simulation, intercept analysis).
  • Solid understanding of applied mathematics (linear algebra, optimization, computational geometry, graph theory).
  • Knowledge of vehicle dynamics, kinematic constraints, and control theory for autonomous ground, air, or maritime platforms under C2.
  • Familiarity with map representations, terrain reasoning, and handling large-scale geospatial data within distributed C2 architectures.
  • Background in machine learning as applied to planning/decision-making (reinforcement learning, learned heuristics, behavior prediction).
  • Ability to engineer robust systems for planning under uncertainty, multi-agent coordination, and operation in complex, dynamic, contested environments.
  • Demonstrated ability to work across development lifecycles, from prototyping to production optimization.
  • Eligible to obtain and maintain an active U.S. Top Secret security clearance.

Skills

Required:Path planning and route optimizationC/C++PythonMatlab

Benefits

  • Comprehensive, competitive benefits package available at little to no cost to employees (health, recovery, and future planning).
  • Top-tier benefits for full-time employees alongside highly competitive equity grants in majority of offers.
Last updated Sep 16, 2026. Interested? Apply on the company site.

About Anduril

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