Anduril Industries is looking to solve the problem of transforming U.S. and allied military capabilities with advanced technology, specifically in the area of Autonomous Underwater Vehicles (AUVs) for seabed exploration.
Requirements
- 5+ years of professional C++ or Rust programming experience in a Linux development environment
- Strong engineering background from industry or school, ideally in areas/fields such as Robotics, Computer Science, Software Engineering, Mechatronics, Electrical Engineering, Mathematics, or Physics
- Experience in one or more of the following: sensor integration, tracking and estimation, motion planning, perception, localization, mapping, guidance, navigation and controls, and related system performance metrics
- Proven understanding of data structures, algorithms, concurrency, and code optimization
- Experience troubleshooting and analyzing remotely deployed software systems
- Hands-on experience developing software for embedded and physical devices
- Solid understanding of robotics systems, common interfaces and protocols (gRPC, TCP/IP, RS485, RS232)
Responsibilities
- Drive integration across the robotics stack, bringing together perception, motion planning, state estimation, and autonomy
- Develop and integrate sensors for perception, enabling advanced mapping and SLAM capabilities
- Contribute to perception, motion planning, state estimation, and autonomy features
- Write production-quality code, primarily in Rust and C++
- Participate in the full software development lifecycle, from concept and design through testing and deployment
- Troubleshoot and resolve complex issues in deployed systems, ensuring optimal performance in the field
- Navigate dynamic, ambiguous environments
Other
- Travel up to 15% to build, test, and deploy capabilities in the real world
- Eligible to obtain and maintain an active U.S. Secret security clearance
- Strong communication skills and ability to collaborate across technical teams
- MS in Robotics, Computer Science, Software Engineering, Mechatronics, Electrical Engineering, Mathematics, or Physics (preferred)
- Ability to work in a dynamic, ambiguous environment
