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Salary: USD 165,000 - 218,000 / annual
Anduril Industries is a defense technology company transforming U.S. and allied military capabilities through advanced technology. The company develops Lattice OS, an AI-powered operating system that integrates thousands of data streams into real-time 3D command and control centers. Anduril brings cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to military systems.
As a Research Scientist in Battlespace Awareness, you will work in a small, innovative team developing state-of-the-art algorithms and software that solve complex scientific problems with real-world military applications. Your work extends beyond academic publication—success is measured when your technology is deployed in mission-critical systems and customers achieve their objectives.
Key responsibilities include:
- Contributing to team direction with your expertise and ideas
- Creating mathematically principled solutions to challenging information science problems
- Prototyping state-of-the-art algorithms in an agile development environment
- Implementing high-performance software spanning tactical systems to web applications
- Using high-fidelity modeling, simulation environments, and flexible compute clusters to quantify technology benefits
- Engaging directly with government and industry customers to ensure mission-critical success
- Communicating complex technical concepts effectively to both experts and non-experts
You will have access to advanced tools, innovative analysis platforms, and compute resources to validate your solutions in realistic operational contexts.
REQUIREMENTS:
- Master's degree or Ph.D. in Applied Mathematics, Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Statistics and Probability, or related field
- Demonstrated academic excellence with experience in most of the following areas:
* Applied Mathematics: differential equations, linear algebra, numerical analysis, continuous or discrete optimization
* Engineering: controls, estimation theory, digital signal processing, machine learning
* Scientific Computing: software design, algorithm implementation, software analysis, testing, and optimization
* Probability: statistics and random processes
- Effective written and verbal communication skills with demonstrated ability to convey advanced technology details to both technical experts and non-experts
- Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance
- Transcripts required as part of early application process (unofficial transcripts acceptable; redaction of non-technical information permitted)
