Anduril Industries is looking to solve challenging information science problems with mathematically principled solutions to transform U.S. and allied military capabilities with advanced technology, including autonomy, AI, computer vision, sensor fusion, and networking.
Requirements
- Experience coding languages with Rust, C++, and Python
- 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 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.
- If you choose not to share your transcripts, you will need to provide detailed information regarding your academic performance in relevant courses, including projects and coursework specifics, to ensure we evaluate your academic accomplishments properly.
