Anduril Industries
Software Engineer, Battlespace Awareness
About this role
Anduril Industries seeks a Software Engineer specializing in Battlespace Awareness to develop advanced algorithms and mission-critical software for defense applications. You'll work on AI-powered systems, sensor fusion, and real-time command-and-control solutions in an agile, innovative environment.
What you'll do
- Design and prototype state-of-the-art software solutions for tactical systems and web applications
- Develop high-performance algorithms spanning sensor fusion, computer vision, and autonomy
- Conduct modeling, simulation, and analysis to quantify technology benefits
- Collaborate with government and industry customers to ensure mission-critical success
- Lead direction and mentorship within a small engineering team
- Manage full software development lifecycle from design through optimization and testing
What they're looking for
- C/C++ and Python programming
- Machine learning (supervised/unsupervised learning, classification, clustering)
- Applied mathematics (differential equations, linear algebra, optimization, statistics)
- Big data and NoSQL database technologies
- Signal processing, controls, and estimation theory
- Software design, algorithm implementation, and optimization
- Sensor fusion and data stream integration
- Technical communication and customer engagement
Benefits
- Competitive equity grants as part of total compensation
- Top-tier benefits package for full-time employees
- Work on cutting-edge AI and autonomy technology
- Mission-driven role with real-world defense applications
- Collaborative small-team environment
- Opportunity to influence product direction
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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 algorithm you've implemented in C++ or Python and how you optimized it for performance.
- Describe your experience applying machine learning to real-world problems and how you validated model effectiveness.