Pragmatic Engineering Jobs (NOW HIRING)

The Maneuver Dominance team at Anduril develops operationally relevant, multi-asset autonomy. We are focused on making large groups of autonomous systems work effectively together. We leverage existing Anduril drone platforms like Ghost or Altius, in addition to bringing 3rd party platforms into Anduril's Lattice ecosystem. 

We are seeking a Robotics Software Engineer, Behaviors to join the Maneuver Dominance team. In this role, you will be responsible for developing and maintaining code that controls high-level robotic behavior-designing behavior trees and state machines that orchestrate teams of robots and ensure Anduril products seamlessly work together to achieve a variety of critical outcomes. You will write software integrations that enable seamless interactions between autonomy and robotic peripherals such as sensors, flight controllers, and radios.
Members of our team contribute to solving a wide variety of problems involving networking, autonomy, systems integration, and robotics, while making pragmatic engineering tradeoffs along the way. If you possess a "Whatever It Takes" mindset - executing in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions, then this role is for you.

What You'll Do

• Develop Behavior Software: Design and implement behavior trees and state machines that control high-level behavior for teams of robots.
• Autonomy Integration: Write software integrations that enable seamless interactions between autonomy and robotic peripherals-sensors, flight controllers, radios, and other onboard systems.
• Multi-Robot Coordination: Build software that coordinates teams of autonomous platforms to achieve complex mission outcomes across networked robots.
• Systems Integration: Solve problems spanning networking, autonomy, systems integration, and robotics, making pragmatic engineering tradeoffs along the way.
• Collaborate Cross-Functionally: Partner with autonomy, hardware, systems, and platform teams to ensure Anduril products seamlessly work together in the field.
• Real-World Deployment: Travel up to 25% to test, debug, and deploy systems in operational environments.
• Iterative Development: Contribute across the entire software lifecycle, including prototyping, implementation, testing, and deployment.
• Troubleshoot and Debug: Analyze and resolve issues in deployed systems, ensuring reliability and operational success.

Required Qualifications

• Technical Expertise: Bachelor's or Master's degree in Robotics, Computer Science, Software Engineering, Mathematics, or Physics.
• C++ and Rust Proficiency: At least 2+ years of hands-on experience developing production-grade software in C++ and/or Rust.
• Behavior Trees & State Machines: Experience designing and implementing behavior trees, state machines, or comparable frameworks for orchestrating high-level robotic behavior.
• Autonomy & Peripherals: Proven ability to write software integrations between autonomy stacks and robotic peripherals such as sensors, flight controllers, and radios.
• Systems-Level Thinking: Strong systems-level knowledge and the ability to navigate and contribute to complex, established codebases.
• Pragmatic Engineering: A "Whatever It Takes" mindset-executing in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind.
• Real-World Impact: Passion for building software that directly influences mission-critical outcomes.
• Travel Flexibility: Willingness to travel up to 25% to test and deploy systems.
• Security Clearance: Must be eligible for a US security clearance.

Preferred Qualifications

• Multi-Agent Coordination: Experience with motion planning, perception, localization, and multi-agent coordination across teams of robots.
• Behavior Frameworks: Familiarity with open-source behavior tree libraries (e.g., BehaviorTree.CPP, py_trees) or comparable autonomy frameworks.
• Simulation Expertise: Proficiency in designing Software-in-the-Loop (SIL) simulation environments for behavior validation.
• Hardware Integration: Experience working with embedded systems, flight controllers, and physical devices.
• Programming Skills: Additional experience with Python, and/or real-time operating systems.
• Machine Learning: Knowledge of AI/ML applications in robotics and autonomy.