Research Scientist

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!

• 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.

• 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.
• Effective data analysis, deep-diving, trouble-shooting.
• Open-minded, creative, imaginative.
• Agile learner.
• Enthusiastic collaboration, energized by driving team success.
• Ability to obtain and maintain a U.S. TS/SCI security clearance.

• Experience with either radar signal processing or image processing.
• Experience in GPU programming (CUDA programming) and rapid prototyping.

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. Transcripts help us assess your technical and analytical abilities, complementing our interview process in which we also evaluate practical experience and cultural fit. 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. If you do provide academic transcripts, feel free to redact non-technical information (e.g., student ID, dates, non-technical coursework, etc.). Unofficial transcripts obtained online acceptable for this assessment.