Senior GNC Engineer

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology.

We are currently seeking a Senior GNC Engineer to join our Battlespace Awareness Command and Control Software team.

Responsibilities

• Define and influence the direction of a small team within the Command and Control Software organization, leveraging your 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 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.

REQUIRED QUALIFICATIONS

• 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 the 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 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 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.

Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.