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Salary: USD 129,000 - 171,000 / annual
Anduril Industries is a defense technology company transforming U.S. and allied military capabilities through advanced autonomy, AI, computer vision, sensor fusion, and networking. The Battlespace Awareness Command and Control Software team solves complex, real-world problems through cutting-edge algorithms and intelligent software integrations, with a focus on delivering mission-critical deployed solutions.
In this role, you will contribute hands-on to a small, collaborative team within the Command and Control Software organization, applying expertise in path planning and route optimization. Key responsibilities include:
• Prototype and help deploy state-of-the-art algorithms for global and local path planning, trajectory optimization, and multi-agent coordination within command and control systems.
• Develop online (real-time) path planning capabilities that replan safely and efficiently as mission conditions, threats, and vehicle states change.
• Design and develop high-performance software for real-time C2 systems deployed on operational platforms—from operator-facing mission planning tools to autonomous tasking and routing services orchestrating fleets of unmanned systems—with emphasis on asynchronous programming, concurrency, and reliable execution in resource-constrained environments.
• 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, modeling tools, and statistical techniques to validate planner behavior across diverse mission scenarios.
• Support customer success by developing and implementing 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 optimization.
• Translate technical progress into clear, actionable insights for diverse stakeholders, including colleagues, operators, and end-users.
REQUIREMENTS:
• 3+ years of experience in algorithm design, software development, and mathematical modeling with programming expertise in C/C++ and/or Rust.
• Strong knowledge of path planning techniques, such as graph-based search (A*, D* Lite), sampling-based planners (RRT, RRT*, PRM), and online/real-time replanning approaches.
• Demonstrated experience in guidance, navigation, and control (GNC); trajectory optimization and trajectory prediction; and/or development of predictive models for vehicle dynamics and weapon system effectiveness (e.g., 6-DoF simulation, intercept analysis).
• Solid understanding of applied mathematics, including linear algebra, optimization, 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, including high-speed aerial vehicles.
• Familiarity with map representations, terrain reasoning, state estimation, and efficient handling of large-scale geospatial and environmental data within distributed C2 architectures.
• Exposure to machine learning as applied to planning and decision-making, including reinforcement learning, learned heuristics, and behavior prediction.
• Ability to write robust, concurrent code for planning under uncertainty and operation in complex, dynamic, contested environments.
• Demonstrated ability to work across development lifecycles, from prototyping to optimizing production systems.
• Eligible to obtain and maintain an active U.S. Secret security clearance.
NICE TO HAVE:
• Experience with Rust for high-performance, safety-critical software.
• Exposure to mixed greenfield/brownfield codebases, including extending an existing planning/routing stack in production.
