Anduril Industries
Software Engineer, Air Defense
About this role
Anduril Industries seeks a Software Engineer to join its Air Defense team in Irvine, California, developing critical software for autonomous defense systems that detect and neutralize aerial threats. You'll own deployed solutions, write scalable code, collaborate across teams, and travel up to 30% to test systems in real-world environments.
What you'll do
- Own and maintain software solutions deployed to customers
- Write and improve code to enhance products and scale capabilities
- Collaborate across teams to plan, build, and test complex functionality
- Create metrics for debugging and system monitoring
- Triage issues, diagnose root causes, and coordinate solutions
- Travel up to 30% to build, test, and deploy systems in operational environments
What they're looking for
- Multi-language programming (Python, C++, Rust, Go, JavaScript)
- Data processing and analysis
- Complex systems navigation and legacy codebase understanding
- Autonomous systems and robotics (preferred)
- Flight systems and safety-critical software (preferred)
- Distributed communication networks (preferred)
- Physics, mathematics, or motion planning (preferred)
- Behavior tree development (preferred)
Benefits
- Competitive salary ($166,000–$220,000)
- Equity grants included in most offers
- Top-tier benefits package for full-time employees
- Work on mission-critical defense technology with real-world impact
- Collaborative, fast-paced environment
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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 complex software system you've navigated and modified. How did you approach understanding the codebase, and what challenges did you encounter?
- Describe your experience with data processing and analysis at scale. What languages and tools did you use, and how did you optimize performance?