2x founder
Ye Wang
Founder of EverCurrent | ex-Autodesk, PTC Onshape, Google | a16z speedrun | Engineer & AI Researcher
Hardware doesn’t stall on ideas; it stalls on scattered knowledge. EverCurrent creates alignment — making the miracles of hardware development repeatable
Experience
Career
2025EverCurrent
FounderFounder and CEO · San Francisco Bay Area · 2025 – Present
2020Autodesk
Senior Principal Research Scientist · San Francisco, California, United States · 2020 – 2025
2017Join, Inc.
Co-founderCo-Founder and Head of Engineering · San Francisco, California · 2017 – 2020
2015Onshape Inc.
Principal Software Engineer · San Francisco Bay Area and Boston · 2015 – 2017
- 2013
Autodesk 123D
Senior Software Engineer · Pier 9, San Francisco · 2013 – 2015
2012Computational Fabrication Group at MIT CSAIL
Graduate Research Assistant · Cambridge, MA, USA · 2012 – 2013
2011Object-Based Media Group at MIT Media Lab
Research Assistant · Cambridge, MA, USA · 2011 – 2012
2011Google
Site Reliability Engineering Intern on Social Backend SRE Team · Zürich, Switzerland · 2011
2010Facebook
Software Engineering Intern on Commerce-core Team · Palo Alto, CA, USA · 2010
Bio
Ye Wang is a second-time founder, researcher, and engineer whose career has consistently pushed the frontier of how teams design and build the physical world. Raised by an industrial designer mother and a manufacturer father, she grew up around the miracle of building. As a teenager, she represented the U.S. at the International Olympiad in Informatics (IOI). She went on to MIT, where she focused on developing advanced manufacturing algorithms and systems. She began her career at Autodesk during the Maker Movement, building early 3D printing tools. She later helped create Onshape, the first cloud-native CAD system, founded Join, a collaboration platform for construction, and most recently led generative AI research at Autodesk with global automotive enterprises. Today, Ye is the founder and CEO of EverCurrent, an AI-native platform that makes the “small miracles” of hardware development repeatable by turning scattered knowledge into shared clarity.