Anduril Industries
Software Engineer, Robotics
About this role
Anduril Industries seeks experienced robotics software engineers to develop autonomous systems and AI-powered solutions for defense applications. You'll work across perception, planning, and control systems in a fast-paced environment spanning algorithm research through deployment.
What you'll do
- Design and build robust software for autonomous robotics focused on perception, planning, and control
- Develop scalable solutions for next-generation robotic platforms that impact mission success
- Contribute across the full software lifecycle from research and prototyping to testing and deployment
- Tackle complex real-world problems in multidisciplinary teams
- Drive process improvements and maintain rigorous testing standards
What they're looking for
- C++ (minimum 3 years production experience)
- Computer Science or Software Engineering fundamentals
- Large-scale data processing and analysis
- Machine Learning and Artificial Intelligence
- Computer Vision and Sensor Fusion
- Motion and Behavioral Planning
- Complex software system architecture
- Rapid learning in established codebases
Benefits
- Competitive salary ($191,000–$253,000 USD)
- Equity grants included in most full-time offers
- Comprehensive health and wellness coverage at low/no cost
- Top-tier benefits package
- U.S. Top Secret security clearance support
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Anduril Industries
Anduril Industries builds autonomous defense systems including underwater vehicles, unmanned aircraft, and electronic warfare platforms for the Department of Defense. The company is hiring across mechanical engineering, mission operations, software development, technical leadership, and advanced manufacturing roles to support the design, deployment, and production of these mission-critical systems.
- Website
- anduril.com
Likely interview questions
- Walk us through a production C++ system you've built. How did you handle performance optimization and testing at scale?
- Describe your experience with perception, planning, or control algorithms in robotics. What were the key challenges?