Senior Robotics Software Engineer, Path Planning

Senior Robotics Software Engineer, Path Planning

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

About The Team

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.

About The Job

We are seeking a Robotics Software Engineer with expertise in C++ and Rust to join our team. In this role, you will design, develop, and optimize software solutions for autonomous robotic systems, focusing on sensor integration, networking, and multi-agent coordination. You will work on interdisciplinary challenges, collaborate across teams, and deploy critical software in real-world environments. If you thrive in a fast-paced environment, enjoy solving complex problems, and are passionate about creating impactful robotics systems, this opportunity is for you.

What You'll Do

• Develop Mission-Critical Software: Engineer scalable and robust solutions for networking, sensor integration, and autonomy across robotic platforms.
• Sensor Integration: Work with a variety of sensors (e.g., cameras, LiDAR, IMUs) to enable perception, localization, and navigation.
• Networking Systems: Design and optimize distributed communication networks and message-passing frameworks for multi-robot coordination.
• Collaborate Cross-Functionally: Partner with hardware, systems, and manufacturing teams to seamlessly integrate software into physical systems.
• Real-World Deployment: Travel up to 25% to test, debug, and deploy systems in operational environments.
• Iterative Development: Contribute to the entire software lifecycle, including prototyping, implementation, testing, and deployment.
• Optimize Performance: Enhance system efficiency, such as improving latency, battery consumption, and resource utilization.
• 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: 2+ years of hands-on experience developing production-grade software in C++ and/or Rust.
• Networking Knowledge: Experience with distributed communication networks, protocols, and message standards.
• Sensor Integration: Proven ability to work with and integrate sensors (e.g., LiDAR, cameras, IMUs) into robotics systems.
• Systems-Level Thinking: Ability to navigate and contribute to complex systems and established codebases.
• 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.

Preferred Qualifications

• Advanced Robotics: Experience with motion planning, perception, localization, and multi-agent coordination.
• Simulation Expertise: Proficiency in designing Software-in-the-Loop (SIL) simulation environments.
• Hardware Integration: Experience working with embedded systems and physical devices.
• Performance Optimization: Familiarity with metrics and optimization techniques for robotics systems.
• Programming Skills: Additional experience with Python, and/or real-time operating systems.
• Machine Learning: Knowledge of AI/ML applications in robotics.
• Security Clearance: Active or prior U.S. Secret clearance is a plus.