Anduril Industries is a defense technology company aiming to modernize military capabilities by integrating 21st-century technology, including AI, autonomy, and computer vision, into defense systems.
Requirements
- Applied Mathematics: differential equations, linear algebra, numerical analysis, and continuous or discrete optimization;
- Engineering: controls, estimation theory, digital signal processing, and machine learning;
- Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization;
- Probability: statistics and random processes.
Responsibilities
- Contribute to the direction of a talented small team with your expertise and ideas;
- Create mathematically principled solutions to some of the world’s most challenging information science problems;
- Prototype state-of-the-art algorithms 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 flexible compute clusters to quantify the benefit of our technology;
- Engage with our customers, to ensure successful outcomes for their mission-critical needs;
- Help your colleagues and customers understand what you’re doing and why.
Other
- A Research Scientist at Anduril should possess an M.S. or Ph.D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Statistics and Probability, or a related field.
- A Research Scientist should have a record of academic excellence, including demonstrated experience in most of the following areas:
- A Research Scientist should have effective written and verbal communication skills, with the demonstrated ability to convey salient details about advanced technology in a compelling manner to both experts and non-experts alike.
- Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance
- We request transcripts as part of the early application process to understand your academic background and how your coursework supports the skills deemed critical for the role.
