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Anduril

Robot type
Drone · Defense
Location
BroomfieldColoradoUSA
Job type
Artificial Intelligence
Posted
Sep 1, 2026
Full-time

Senior Advanced Research Scientist

Job description

Anduril’s Research Scientists excel at developing state-of-the-art algorithms and software that solve scientific problems with real-world applications. Working in small, innovative teams, our research scientists create impactful solutions that make a difference. Our research endeavors don’t end once we’ve published papers; our work is complete when our technology is deployed in mission-critical systems, ensuring success for our customers in government and industry. Join us in our mission to expand the boundaries of what’s possible!

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology.

Job responsibilities

  • Drive rapid prototyping initiatives for advanced R&D projects, focusing on specialized algorithm development in the context of radar systems, video sensors, space-based sensing, and Command and Control (C2) systems.
  • Utilize high-fidelity modeling and simulation tools to assess and quantify the impact of innovative technologies on system performance.
  • Collaborate with cross-disciplinary teams to ensure seamless integration of software and hardware, optimizing system functionalities for radar systems.
  • Implement rigorous software quality assurance processes, using various testing methodologies to ensure reliability and efficiency of developed solutions.
  • Engage with stakeholders to align R&D outcomes with mission-critical objectives, ensuring optimal performance and operational success.
  • Mentor junior team members, fostering a culture of innovation and continuous improvement within the team.

Job requirements

  • An M.S. or Ph.D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Physics, Statistics and Probability, or a related field.
  • 2+ years of professional experience in embedded software/firmware engineering.
  • Strong foundation in applied mathematics, including probability theory, optimization theory, linear algebra, and numerical analysis.
  • Familiarity with functional programming languages (e.g., C/C++, Julia, Rust, Python, CUDA).
  • Demonstrated experience in scientific computing, including algorithm implementation, optimization methods/theory, probabilistic/stochastic models, graphical models.
  • Knowledge of digital signal processing (DSP) and image processing, as well as controls and estimation theory.
  • Excellent written and verbal communication skills to convey complex technical concepts to diverse audiences.
  • Adept at problem identification and principled approaches to problem formulation and solution.

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