GNC Software Engineer

About the Team

At Anduril, our Battlespace Awareness Command and Control Software team specialises 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 deliver advanced technologies with mission-critical applications.

What You Will Do

• Define and influence the direction of a small team within the Command and Control Software organisation, leveraging your subject-matter expertise in path planning and route optimisation.
• Prototype and deploy state-of-the-art algorithms for global and local path planning, trajectory optimisation, 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.
• Analyse system performance using high-fidelity simulations, innovative modelling tools, and rigorous statistical techniques to validate planner behaviour across diverse mission scenarios.
• Drive customer success by customising algorithms and software for mission-critical use cases, including collaborative autonomy, asset routing, and obstacle and threat avoidance.
• Integrate path planning technologies into the broader command and control software stack and development lifecycle, from requirements definition through testing and optimisation.
• Translate technical progress into clear, actionable insights for diverse stakeholders, including colleagues, operators, and end-users.

Required Qualifications

• Proficiency in algorithm design, software development, and mathematical modelling 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.
• Demonstrated experience in guidance, navigation, and control (GNC); trajectory optimisation; and/or the development of predictive models for vehicle dynamics and weapon system effectiveness.
• Solid understanding of applied mathematics, including linear algebra, optimisation, computational geometry, and graph theory.
• Knowledge of vehicle dynamics, kinematic constraints, and control theory as applied to autonomous ground, air, or maritime platforms tasked through C2 systems.
• Familiarity with map representations, terrain reasoning, and the efficient handling of large-scale geospatial and environmental data within distributed C2 architectures.
• Background in machine learning as applied to planning and decision-making, including reinforcement learning, learned heuristics, and behaviour 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 optimising production systems.
• Eligible to obtain and maintain an active U.S. Top Secret security clearance.

Benefits

At Anduril, we invest in our people. Our comprehensive, competitive benefits package ensures you're supported in health, recovery, and whatever comes next.