Scott Goodson
Director, Core Machine Learning Performance at Google
Palo Alto, California, United States
Summary
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Rockstar🎓
Top SchoolScott Goodson is a senior engineering leader with 11+ years building high-performance mobile and ML infrastructure at top tech firms, currently directing Google's Core Machine Learning Performance team in Palo Alto. He blends low-level optimization and hardware-software co-design experience—from early iPhone UIKit and async rendering work at Apple to leading large teams at YouTube and Android Automotive—to squeeze out efficiency at massive scale. His teams have shipped production systems used by billions of users while also shaping chip roadmaps and developer tooling like XProf and performance-centric runtimes. A pragmatic manager who leads with empathy, he repeatedly grows and mentors large cross-functional organizations while keeping a hands-on focus on code and architecture. He’s also an active open-source contributor, notably improving AsyncDisplayKit’s threading, visibility events, and data controllers to enable smoother iOS UIs. That rare combination of deep platform-level performance expertise and product-scale delivery makes him effective at turning micro-optimizations into strategic advantage.
11 years of coding experience
17 years of employment as a software developer
BS Electrical Engineering and Computer Science, BS Electrical Engineering and Computer Science at University of California, Berkeley
Stackoverflow
11reputation
2kreached
4answers
0questions
Github Skills (10)
objective-c10
uitableview10
ios10
uicollectionview10
asyncdisplaykit10
performance-optimization9
swift6
uicollectionview-cell6
nsattributedstring6
tttattributedlabel6
Programming languages (10)
Github contributions (5)
facebookarchive/AsyncDisplayKit
Oct 2014 - Apr 2017
Smooth asynchronous user interfaces for iOS apps.
Role in this project:
iOS Mobile Developer
iOS Mobile DeveloperContributions:15 releases, 930 commits, 1055 PRs in 2 years 6 months
Contributions summary:Scott primarily contributed to the iOS mobile application framework, AsyncDisplayKit, by implementing features, fixing bugs, and optimizing performance. Their work focused on enhancing the user interface by adding support for features such as visibility events, improving the cell node infrastructure and handling cell-related data with a new ASDataController and ASRangeController. They also worked on the general thread safety for performance improvements and refactored several areas for better internal maintainability.
asynchronousios
peter-iakovlev/AsyncDisplayKit
Jul 2015 - Jan 2019
Smooth asynchronous user interfaces for iOS apps.
Contributions:50 commits in 3 years 6 months
asynchronousios
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