Robotics Software Engineer

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

At Anduril, our Battlespace Awareness Command and Control Software team specializes in solving complex, real-world problems through cutting-edge algorithms and intelligent software integrations.

As a Robotics Software Engineer, you will contribute hands-on to a small, collaborative team within the Command and Control Software organization, applying your growing expertise in path planning and route optimization.

Responsibilities:

• 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.
• Help 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 in the field.
• 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.
• Integrate path planning technologies into the broader command and control software stack and development lifecycle.
• Translate technical progress into clear, actionable insights for diverse stakeholders.

Required Qualifications:

• 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.
• Demonstrated experience in guidance, navigation, and control (GNC).
• Solid understanding of applied mathematics.
• Knowledge of vehicle dynamics, kinematic constraints, and control theory.
• Familiarity with map representations, terrain reasoning, state estimation, and the efficient handling of large-scale geospatial and environmental data.
• Exposure to machine learning as applied to planning and decision-making.
• Ability to write robust, concurrent code for planning under uncertainty and operation in complex, dynamic, contested environments.
• Demonstrated ability to work across development lifecycles.
• 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.

Benefits:

• Highly competitive equity grants
• Top-tier benefits for full-time employees, including comprehensive health, recovery, and support programs