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Anduril

Robot type
Drone · Defense
Location
WalthamMassachusettsUSA
Job type
Software
Posted
Sep 12, 2026
Salary
$220,000–$292,000 a year
Full-time

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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