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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 technology. The company's Lattice OS is an AI-powered operating system that converts thousands of data streams into real-time, 3D command and control centers. Anduril brings cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to military applications.
The Battlespace Awareness Command and Control Software team solves complex, real-world problems through cutting-edge algorithms and intelligent software integrations. Operating in small, innovative teams, the organization pushes boundaries to deliver advanced technologies with mission-critical applications, measuring success by real-world impact of deployed solutions.
In this role, you will 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. Key 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
• 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
• 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++, Python, and MATLAB
• 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
• Background in machine learning as applied to planning and decision-making, including reinforcement learning, learned heuristics, and behavior prediction
• Ability to engineer robust, concurrent 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 optimizing production systems
• Eligible to obtain and maintain an active U.S. Secret security clearance
DESIRED QUALIFICATIONS:
• Experience with Rust for high-performance, safety-critical software
• Experience across mixed greenfield/brownfield codebases, including extending an existing planning/routing stack in production
