Steven Carr
Software Engineer at Anduril Industries
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolSteven Carr is a software engineer and PhD-trained researcher specializing in the intersection of control, planning, and machine learning for autonomous systems, with eight years of applied experience across academia, defense, and industry. He has validated theory on hardware and high-fidelity simulators, collaborated with NASA, DARPA and Five Eyes partners, and recently moved from robotics and AI research roles into systems work at Anduril. His background spans multi-agent planning, Bayesian-informed data analysis, and provably convergent UAV coordination algorithms—skills he’s applied from prototype flight tests to production-grade autonomy. Based in Greater Boston, he combines deep technical rigor with a practical track record of shipping validated autonomy solutions and is focused on applying emerging AI to ensure safe, correct decisions in real-world autonomous systems.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD Aerospace Engineering - Task-Aware Planning and Learning in Partially Observable Environments , Doctor of Philosophy - PhD Aerospace Engineering - Task-Aware Planning and Learning in Partially Observable Environments at The University of Texas at AustinThe University of Sydney
Github Skills (12)
mdp8
markov-chain7
deep-reinforcement-learning4
storm4
reinforcement-learning4
model-checking4
checker4
machine-learning3
probabilistic3
toolbox2
planning2
multiplexing2
Programming languages (2)
Github contributions (5)
stevencarrau/decentralized_classification
Mar 2020 - Apr 2023
Contributions:83 pushes, 2 branches in 3 years 2 months
u-t-autonomous/Decentralized-UAM-Traffic-Management
Aug 2019 - Apr 2022
Contributions:30 commits, 2 PRs, 20 pushes in 2 years 7 months
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