Majid Jalili
GPU Performance Analysis Engineer at Apple
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolMajid Jalili is a GPU performance analysis engineer in Austin with 11 years of experience optimizing system-level efficiency for graphics and compute platforms. With a PhD in Computer Architecture from UT Austin and internships at NVIDIA, Intel, Samsung, and Microsoft, he blends deep academic rigor with hands-on industry tuning across leading silicon and software stacks. Currently at Apple, he focuses on squeezing more performance and power efficiency from GPUs through modeling, profiling, and cross-layer analysis. Colleagues rely on his knack for turning complex microarchitectural behavior into actionable system optimizations, and his background in power architecture gives him a rarer lens on energy-performance tradeoffs.
11 years of coding experience
Doctor of Philosophy - PhD, Computer Architecture, Doctor of Philosophy - PhD, Computer Architecture at The University of Texas at AustinBachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Shahid Bahonar University of KermanMaster's degree, Computer Architecture, Master's degree, Computer Architecture at Sharif University of Technology
Github Skills (37)
simulator7
simulation7
energy7
modeling7
arm6
performance-counters6
x866
risc-v6
architecture6
processor5
pcm5
reinforcement-learning5
machine-learning5
computer-architecture5
gem55
Programming languages (4)
Github contributions (5)
lpharch/goro
Jul 2021 - Jun 2022
Goro: a deep RL prefetcher throttler
Contributions:18 commits, 3 pushes, 2 branches in 10 months
pytorchprefetcherthrottlerreinforcement-learningmachine-learning
majid0jalili/RandomScripts
Feb 2020 - Feb 2020
Contributions:9 pushes, 1 branch in 1 day
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