Senior Research Scientist

Anduril Anduril · Defense · Broomfield, CO · Mission Systems : Battlespace Awareness Engineering

Senior Research Scientist at Anduril, a defense technology company, focusing on developing state-of-the-art algorithms and software for military applications. The role involves prototyping, implementing high-performance software, and quantifying technological benefits using advanced tools. Requires an MS or PhD in a related field, experience with Rust, C++, and Python, and strong communication skills. The role is focused on research and development of AI/ML solutions for defense systems.

What you'd actually do

  1. Contribute to the direction of a talented small team with your expertise and ideas;
  2. Create mathematically principled solutions to some of the world’s most challenging information science problems;
  3. Prototype state-of-the-art algorithms in an agile development environment;
  4. Implement high-performance software spanning the spectrum from tactical systems to web applications;
  5. Use high-fidelity modeling and simulation environments, innovative analysis tools, and flexible compute clusters to quantify the benefit of our technology;

Skills

Required

  • 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
  • Rust
  • C++
  • Python
  • effective written and verbal communication skills
  • 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

Nice to have

  • academic excellence
  • experience in most of the following areas: [areas not specified in JD]

What the JD emphasized

  • state-of-the-art algorithms
  • state-of-the-art algorithms
  • mathematically principled solutions
  • high-performance software

Other signals

  • develop state-of-the art algorithms
  • solve scientific problems with real-world applications
  • prototype state-of-the-art algorithms
  • implement high-performance software
  • quantify the benefit of our technology