- Robot type
- Drone · Defense
- Location
- WalthamMassachusettsUSA
- Job type
- Software
- Posted
- Sep 12, 2026
- Salary
- $220,000–$292,000 a year
Senior Software Engineer, Battlespace Awareness
Job description
Anduril's Software Engineers excel at developing state-of-the art algorithms and software that solve scientific problems with real-world applications. Working in small innovative teams, our software engineers build solutions that make a difference. Our research endeavors don’t end once we’ve written a journal or conference paper describing our technology; rather, our work is complete when our technology has been deployed in mission-critical systems and our customers within government and industry are successful.
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology.
Job responsibilities
- Contribute to the direction of a small team with your expertise and ideas
- Prototype state-of-the-art software solutions in an agile development environment
- Implement high-performance software spanning the spectrum from tactical systems to web applications
- Use high-fidelity modeling and simulation environments, innovative analysis tools, and sound analysis techniques to quantify the benefit of our technology
- Engage with our customers, to ensure successful outcomes for their mission-critical needs
- Work with all aspects of the software development lifecycle
- Help your colleagues and customers understand what you’re doing and why
Job requirements
- 8+ years of professional software engineering experience
- Bachelor's degree in mathematics, physics, engineering, or other technical field (advanced degree strongly preferred)
- C/C++, Python, and Matlab;
- Big data/NoSQL/database technologies;
- Software engineering: software design, algorithm implementation, and software analysis, testing, and optimization;
- Machine learning: supervised and unsupervised learning, clustering, and classification;
- Applied mathematics: differential equations, linear algebra, optimization, statistics, and random processes;
- Engineering: controls, estimation theory, and digital signal processing.
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