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Scott Goodson is listed as Director of Core ML Performance @ Google at Google, a company with 1 employees, based in Palo Alto, California, United States. AeroLeads shows a work email signal at pinterest.com, phone signal with area code 408, and a matched LinkedIn profile for Scott Goodson.
Scott Goodson previously worked as Director, Core Machine Learning Performance at Google and Director of Engineering, Android Automotive OS at Google. Scott Goodson holds Bs, Electrical Engineering And Computer Science from University Of California, Berkeley.
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AeroLeads found 1 current-domain work email signal for Scott Goodson. Compare company email patterns before reaching out.
Engineering Director. Highly technical, and empathetic approach to org leadership. Deep experience in Performance, Parallelism/Concurrency, iOS, Android. Passionate about AI & ML developments, e.g. hardware accelerators, MLIR-based compilers, and generative model architectures.Started writing software for iPhone 1.0 in the last months of development. Later, honored as #15/100 “Most Creative in Business” by Fast Company. Driven by cultures that value attention-to-detail, interdisciplinary trust, and ambition to research/innovate or scale/optimize.Technical interests focus on bottom-up understanding; developed strong understanding of hardware through EE/CS and self study. Appreciate the achievements and complexity across lithography, microarchitecture, memory hierarchy tradeoffs, interconnects/serdes, and system architecture. Excited by compiler frameworks like MLIR, to enable portability and speed on increasingly special-purpose silicon.Value the concept, ‘Mechanical Sympathy’: by understanding the hardware mechanisms that execute it, software can be incredibly fast and efficient. Today, very few engineers appreciate these fundamentals. This approach has many benefits, like power/energy savings and supporting long-tail devices, and can make the newest UX feel polished on slow devices with old batteries.Yet, developer velocity is accelerated by increasingly high-level abstractions. I’m confident that software can be architected to greatly minimize abstraction cost, and embody remarkable optimizations top-of-stack developers needn’t care about.Authored and led the Texture framework. Over time it, it’s powered large parts of top apps, like Facebook, Instagram, Pinterest, YouTube, Google Search/Assistant, and more. (https://texturegroup.org/)As a director, I prioritize learning individuals’ intrinsic interests, and help them focus on their passion. I enjoy the challenge of understanding technical domains across a large space of work, and apply that knowledge to steer strategy and ensure fairness in reviews. Collaborative across disciplines, I partner closely with Recruiting, Product, Design, Program Mgmt, HR, BizDev, and Partner Engineering.Outside work I seek knowledge in home ML clusters, AI/ML research, neuroscience, biochemistry, and retro computer/console repair.Specialties: Managing eng orgs of 50-100+; Hiring, inspiring & retaining teams of high-seniority experts; Stable API design; Performance optimization; Product Design & UX; Advanced mobile development; Leading Open Source communities; Design Languages; Component Libraries.
Listed skills include Ios, Ios Development, Iphone, Mobile Applications, and 14 others.
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Mountain View, CA, US
The ML Performance team hosts nearly 200 brilliant engineers and scientists, working at all levels of the stack to make massive-scale ML compute fast and efficient. We support Google's largest ML HW/SW co-design team, influencing the chip roadmap far into the future. We also deeply optimize (and micro-optimize) existing workloads and leverage new hardware.
Mountain View, CA, US
Leading AAOS Platform, I have the honor to support 100 talented Software Engineers & Managers (alongside many stellar PMs & TPMs). The group covers numerous technical specializations, which I enjoy deep visibility into:- Performance optimization (limited-resource, long-lifecycle SoCs)- Perception and CV/ML (machine learning models for semantic segmentation.
San Bruno, CA, US
Founded a team with a novel vision for cross-platform, server-driven native apps. Achieved industry-first results, distinct from Web / React Native / Flutter.Grew from 3 to ~30 highly domain-experienced individuals, including two front-line managers. Promoted to Principal Engineer after driving critical technical innovations for YouTube and Google, while.
San Francisco, California, US
Directly influenced Pinterest’s org design & scaling, to address weaknesses of FB/IG’s “product vertical team” model.I proposed Core Experience and joined Pinterest to lead it, amplifying their culture of quality and interdisciplinary collaboration:- Combined Platform and UX, for all clients (Web/Android/iOS) and the backend API.- Highly senior SWEs did.
Led all iOS SWEs @ Instagram: app platform, design language, & product implementation.Drove cultural transition from “move fast & break things” to responsible & scalable support of ~300M users. Improved performance, reliability, and dev velocity.Built, refined and shipped major new features (including Explore tab).
My work on the Paper app was one of the most passionate and intense periods of my career, teaching me new things faster than any other learning environment I've been in.This dedication was recognized by Fast Company, which ranked me #15 on the list of Most Creative People in Business 2014. Ranking: http://goo.gl/UliYsb, Bio Page: http://goo.gl/xOllREAs the.
Los Altos, CA, US
My technical management career started at Ness. The company grew from ~10 to about 30 people before its acquisition by OpenTable.Primary developer of the Ness client application, which maintained a 4.5+ star review in the App Store and was chosen by Apple for featuring several times. Press coverage and user reviews alike lauded the application's unique and.
Cupertino, California, US
I was software engineer #10 on the original iPhone Apps & Frameworks team, starting just before iPhone 1.0 launched. I contributed throughout iPad 1.0 development. Team members in this period made dynamic, cross-project contributions before the org solidified.I wrote and debugged code on both the iPhone and iPad, and was the primary author or maintainer of.
Cupertino, California, US
Learned Python on arrival and implemented server side of an RPC API used by a JavaScript front-end. The project supported collaboration services such as a wiki, calendar, and more. Also developed a feature for Mac OS X Client which was demonstrated to and met with interest from upper management.Earned Apple's highest performance review, and invited to.
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طلال القرني
Colleague at GoogleSaudi Arabia, Saudi Arabia
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Jemimah Shaw
Colleague at GoogleNairobi County, Kenya, Kenya
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Duc Nguyen
Colleague at GoogleUnited States, United States
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Felipe Hlibco
Colleague at GoogleSan Francisco, California, United States, United States
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Kerry Klark
Colleague at GoogleLozenets, Sofia City, Bulgaria, Bulgaria
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Edna Williams
Colleague at GoogleFort Pierce, Florida, United States, United States
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Laura Hamelin-Owens
Colleague at GoogleUnited States, United States
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Sonia Hidouche
Colleague at GoogleAlgeria, Algeria
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Eric C.
Colleague at GoogleNew York City Metropolitan Area, United States
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User1109620 Test
Colleague at GoogleCupertino, California, United States, United States
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Quick answers generated from the profile data available on this page.
Scott Goodson works for Google.
Scott Goodson is listed as Director of Core ML Performance @ Google at Google.
AeroLeads has found 1 work email signal at @pinterest.com for Scott Goodson at Google.
AeroLeads has found 2 phone signal(s) with area code 408 for Scott Goodson at Google.
Scott Goodson is based in Palo Alto, California, United States while working with Google.
Scott Goodson has worked for Google, Youtube, Pinterest, Instagram, and Facebook.
Scott Goodson's colleagues at Google include طلال القرني, Jemimah Shaw, Duc Nguyen, Felipe Hlibco, and Kerry Klark.
You can use AeroLeads to view verified contact signals for Scott Goodson at Google, including work email, phone, and LinkedIn data when available.
Scott Goodson holds Bs, Electrical Engineering And Computer Science from University Of California, Berkeley.
Scott Goodson is listed with skills including Ios, Ios Development, Iphone, Mobile Applications, User Experience, Objective C, Python, and Os X.
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