Anduril Industries
Mission Software Engineer, Intelligence Systems
About this role
Anduril Industries seeks a Mission Software Engineer to develop and deploy critical software solutions for defense systems powered by Lattice OS. You'll tackle complex problems spanning networking, autonomy, and systems integration while collaborating across teams and traveling to customer sites for real-world testing and deployment.
What you'll do
- Own and deploy software solutions to customers
- Write code to improve products and scale capabilities
- Collaborate across teams to plan, build, and test complex functionality
- Create and analyze metrics for debugging and monitoring systems
- Triage issues, identify root causes, and coordinate resolutions
- Travel up to 25% to conduct field testing and deployment
What they're looking for
- Programming in Go, Rust, or Python
- Frontend frameworks such as React or Angular
- Data processing and analysis
- Systems integration and complex codebase navigation
- Networking and distributed communication
- Safety-critical software development
- Problem-solving and pragmatic engineering tradeoffs
Benefits
- Competitive salary range of $151,000–$200,000
- Equity grants included in most offers
- Comprehensive health and recovery benefits
- Top-tier benefits package at little to no cost to employees
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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 your experience with Go, Rust, or Python in a production environment. Which have you used most extensively and why?
- Describe a time you debugged and resolved a critical issue in a complex system. How did you approach root cause analysis and what metrics did you use?