Julian Gutierrez
Computer Engineer at NASA Langley Research Center
Yorktown, Virginia, United States
Summary
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Senior🎓
Top SchoolJulian Gutierrez is a computer engineer with a decade of experience specializing in GPUs, heterogeneous systems, and high-performance computing, currently applying algorithmic optimizations to position and navigation problems at NASA Langley Research Center. He holds advanced degrees from Northeastern University, where his research produced efficient GPU-level-set and heterogeneous face-detection solutions and earned multiple best-paper and poster awards. Julian combines hands-on implementation—CUDA, OpenACC, and GPU simulator extensions at AMD—with systems-level insight into memory and architecture trade-offs for HPC and deep learning workloads. He has industrial experience across Intel, HP, and internships at NASA and AMD, delivering tape-in schedules, RTL validation environments, and simulator instrumentation for AVF analysis. Notably, he has taught GPU programming to multidisciplinary students and helped deploy real-time 1080p face detection on heterogeneous platforms, reflecting a rare mix of research depth and practical delivery. Based in Yorktown, VA, he brings both rigorous academic credentials and proven engineering impact to performance-critical computing challenges.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Engineering, 4/4, Doctor of Philosophy - PhD, Computer Engineering, 4/4 at Northeastern UniversityBachelor of Applied Science (B.A.Sc.), Electrical and Electronics Engineering, Bachelor of Applied Science (B.A.Sc.), Electrical and Electronics Engineering at University of Costa Rica
English, Spanish
Github Skills (1)
epsg1
Programming languages (1)
Github contributions (5)
jgutierrezm113/gpu-class
Oct 2018 - Apr 2019
Contributions:10 commits, 1 push, 1 branch in 5 months
jgutierrezm113/HexSieve
Jun 2017 - Dec 2018
Contributions:1 PR, 16 pushes, 1 branch in 1 year 5 months
cudahexagoncppgpuprime
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