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Josh Levenberg

Also known as Joshua L. Levenberg

Josh Levenberg is a software engineer whose career spans video-game graphics, TensorFlow and programming-language design. He earned a mathematics degree at Reed College in 1994, built graphics and physics for games, and published a rendering paper in 2002. At Google, he coauthored TensorFlow system papers and a study of the company's monolithic code repository; his 2019 TensorFlow Eager paper describes a Python interface with immediate execution and graph tracing. As of October 2026, he is a Principal Engineer at Google, working on Carbon Language's type-system design.

Now at
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Timeline

  1. 1994

    Mathematics at Reed

    He earns a B.A. in mathematics from Reed College in 1994. He holds a Ph.D. in mathematics from UC Berkeley.

  2. 1996–2000

    Video game physics

    In 1996, he rewrites graphics and adds pathfinding, sound compression, and scripting for Vampire: The Masquerade. He writes physics simulations for Brunswick Circuit Pro Bowling in 1997 and the physics engine for Flintstones Bedrock Bowling in 1998–1999; the game releases in late 2000.

  3. 2002

    Cached-geometry rendering

    In 2002, he publishes Fast View-Dependent Level-of-Detail Rendering Using Cached Geometry in IEEE Visualization.

  4. 2015

    TensorFlow's machine-learning interface

    In 2015, he coauthors TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems, which describes an interface and implementation for machine-learning algorithms. The TensorFlow API and reference implementation are released as an open-source package in November 2015.

  5. 2016

    TensorFlow at OSDI

    In 2016, he presents TensorFlow at OSDI as a Google Brain speaker. The paper describes dataflow graphs that represent computation and shared state across machines and devices.

  6. 2016

    Google's monolithic repository

    With Rachel Potvin, he coauthors a 2016 Communications of the ACM article about Google's monolithic code repository, its scale, and the systems and workflows that support it.

  7. 2019

    TensorFlow Eager

    In 2019, he coauthors TensorFlow Eager, a Python-embedded DSL for hardware-accelerated machine learning. It executes TensorFlow operations immediately and uses a JIT tracer to turn Python functions into executable dataflow graphs.

  8. As of October 2026

    Carbon Language type design

    He is a Principal Engineer at Google on the Carbon Language team, where he drives large parts of the language design across its type system.

Career

  1. NowGooglePrincipal Engineer

Education

  1. 1994Reed CollegeB.A. in mathematics
  2. University of California, BerkeleyPh.D. in mathematics

From the biography.

Videos

YouTube videos in which Josh Levenberg speaks or appears, newest first. A model chose them from YouTube search results. List updated 22 October 2026.

  1. Definition-Checked Generics, Part 2: The Why & How - Chandler Carruth, Josh Levenberg, Richard SmithCppNow · 25 August 2023 · 1 h 19 min
  2. Definition-Checked Generics, Part 1: The Why & How - Chandler Carruth, Josh Levenberg, Richard SmithCppNow · 25 August 2023 · 1 h 29 min
  3. Inside TensorFlow: tf.distribute.StrategyTensorFlow · 15 August 2019 · 55 min

Video data from YouTube API Services. By watching you agree to the YouTube Terms of Service. How we use YouTube data.

  1. 16% of AI career moves in the 2020s went from a university to a companyIncludes Josh Levenberg. We estimate that 16% of AI career moves in the 2020s went from a university to a company; 29% of moves starting at a university went to a company, and 76% ended the university role.
  2. Google had the most people shaping AI every year from 2014 to 2025Includes Google. Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.
  3. Google has the highest combined h-index among AI organizationsIncludes Google. We estimate that Google holds the highest combined h-index at 8,016, while universities account for 73% of the deduplicated total across AI organizations.
  4. 20% of people at companies who shape AI also hold a university role, led by Google and Stanford UniversityIncludes Google. We estimate that 539 of the 6,766 people with a known current organization (8%) hold both a university role and a company role, including 20% of people at companies and 13% of people at universities.

Sources and credits

Photo: We have no published photo of Josh Levenberg yet. Send us a free-licensed photo.

  1. Josh Levenberg's Resume technomagi.com. Checked 20 October 2026.
  2. Josh Levenberg research.google. Checked 20 October 2026.
  3. Fast View-Dependent Level-of-Detail Rendering Using Cached Geometry research.google. Checked 20 October 2026.
  4. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems research.google. Checked 20 October 2026.
  5. TensorFlow: A system for large-scale machine learning research.google. Checked 20 October 2026.
  6. Josh Levenberg | USENIX usenix.org. Checked 20 October 2026.
  7. Why Google Stores Billions of Lines of Code in a Single Repository research.google. Checked 20 October 2026.
  8. TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning arxiv.org. Checked 20 October 2026.
  9. Josh Levenberg : NDC TechTown ndctechtown.com. Checked 20 October 2026.