Technical Manager, AI For Autonomy at Sandia National Laboratories
Albuquerque, New Mexico, United States
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Summary
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Hartono Sumali is a technical manager specializing in AI for autonomy, leading algorithms for autonomous sensors and guidance, navigation, and control at Sandia National Laboratories with seven years in his current focus and over two decades of multidisciplinary engineering experience. He combines deep mechanics and vibration expertise from an academic and national-lab research background with recent computer science training from the University of Pennsylvania, enabling him to bridge classical dynamics and modern machine learning. Hartono has managed large technical teams and multimillion-dollar materials programs, proving leadership in both hands-on R&D and program execution. Based in Albuquerque, he is equally comfortable in simulation and experiment—having run structural dynamics, finite element, and sensor-in-the-loop testing programs—and brings a pragmatic, systems-level view to deploying AI in safety-critical autonomous systems. An unexpected detail: despite a public Github quip that he "hates coding," his career shows sustained technical authorship and mentorship across academia, industry, and national research labs.
6 years of coding experience
20 years of employment as a software developer
PhD, Mechanical Engineering, PhD, Mechanical Engineering at Virginia Tech
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Pennsylvania
spanish, portuguese, indonesian, french, some italian, a little japanese
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Hartono Sumali - Technical Manager, AI For Autonomy at Sandia National Laboratories