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