Anduril Industries
Software Engineer, Battlespace Awareness
About this role
Anduril Industries seeks an experienced Software Engineer to develop advanced algorithms and high-performance software for defense systems, including AI-powered command and control platforms. You'll prototype state-of-the-art solutions in an agile environment, work with mission-critical systems, and engage directly with government customers.
What you'll do
- Develop and prototype state-of-the-art software algorithms for tactical systems and web applications
- Implement high-performance solutions across the full software development lifecycle
- Use modeling, simulation, and analysis tools to quantify technology benefits and performance
- Engage with government and industry customers to ensure mission-critical success
- Contribute technical expertise and ideas to guide small team direction
- Communicate complex technical concepts to colleagues and customers
What they're looking for
- C/C++ and Python programming
- Machine learning (supervised/unsupervised learning, clustering, classification)
- Applied mathematics (linear algebra, differential equations, optimization, statistics)
- Big data and NoSQL/database technologies
- Signal processing and control theory
- Software design, testing, and optimization
- Estimation theory and digital signal processing
- Modeling and simulation
Benefits
- Highly competitive equity grants included in most full-time offers
- Top-tier benefits package for full-time employees
- Work on cutting-edge defense technology with real-world impact
- Collaborative small-team environment
- Direct customer engagement and mission-critical work
- 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
- Can you describe a complex algorithm you implemented and how you optimized it for performance?
- Tell us about your experience with machine learning—which supervised and unsupervised techniques have you applied, and to what problem domain?