Jennifer Myers

Sunnyvale, California, United States

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Summary

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Rockstar

🎓

Top School

Jennifer Myers is a hands-on technical leader with a Ph.D. in Computational Neuroscience and over 25 years of experience building and managing software teams across startups and large enterprises from Sunnyvale. She has led large engineering organizations to productionize deep learning stacks and compilers (nGraph, MKL-DNN) at Intel, built the fastest GPU framework at Nervana, and driven HW/SW co-design for edge ML at SiMa.ai. Her background spans search, video compression, network security and high-bandwidth low-latency services, and she excels in agile, high-urgency environments with direct customer interaction. Known for shipping end-to-end systems—from cycle-accurate simulators and runtimes to cloud-deployed search products—she combines deep research instincts with pragmatic product delivery. A longtime practitioner since the early internet era, she brings rare breadth across systems, algorithms, and production ML infrastructure.

10 years of coding experience

24 years of employment as a software developer

Aloha High School

PhD, Computational Neuroscience, PhD, Computational Neuroscience at Northwestern University

Bronx High School of Science

BS, Mathematics, BS, Mathematics at Carnegie Mellon University

Github Skills (29)

intel10

hardware10

inference-engine9

c-library9

cpp8

deep-learning8

machine-learning8

graph8

tvm7

hardware-acceleration7

oneapi7

tensorflow7

python7

compiler6

neural-network6

Programming languages (2)

C++Python

Github contributions (5)

NervanaSystems/ModelZoo

May 2016 - Dec 2016

Contributions:5 PRs, 7 pushes, 5 branches in 7 months

zoomodel-zooneon

NervanaSystems/ngraph-python

Feb 2018 - Mar 2018

Original Python version of Intel® Nervana™ Graph

Contributions:6 commits, 1 PR, 48 pushes in 1 month

pythoninteloneapigraphpython-version

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