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Salary: USD 191,000 - 253,000 / 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 technology. 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 rather than academic research.
In this role, you will contribute hands-on to a small, collaborative team within the Command and Control Software organization. Your responsibilities include:
- 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 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 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:
- 8+ 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.
