Jonathan Ng - Product Manager at Waymo

Jonathan Ng

Product Manager at Waymo

San Francisco, California, United States

Join Prog.AI to see contacts

Summary

👤

Senior

🎓

Top School

Jonathan Ng is a Product Manager with 12 years of experience building perception, mapping, and consumer hardware products at the intersection of autonomous vehicles, AI/ML, and robotics. Currently leading Perception work at Waymo, he brings deep cross-functional expertise from roles at Nest (camera hardware and CV), Yahoo (growth), and early engineering stints at Google and Microsoft. He pairs technical fluency—illustrated by contributions to an open-source portfolio optimization project—with product leadership, having filed patents and led platform integrations. An active angel investor and co-lead of the Waymo Angel Syndicate, he advises startups on product strategy, GTM, and technical diligence across deep tech and hardware. He also runs two product management communities totaling 15k+ members, reflecting a commitment to mentorship and ecosystem building beyond his day job.

12 years of coding experience

7 years of employment as a software developer

Bachelor of Applied Science (B.A.Sc.), Computer Engineering, Bachelor of Applied Science (B.A.Sc.), Computer Engineering at University of Toronto

St. George's School

Chinese, Chinese, English

Stackoverflow

Stats

622reputation

108kreached

13answers

25questions

Github Skills (19)

algorithm10

python10

optimizers10

pandas10

convex-optimization10

numpy10

optimisation10

optimization10

finance8

back-end-development8

jupyter-notebook6

uiscrollview6

ruby-on-rails6

bundler6

iphone6

Programming languages (7)

C++CJavaScriptObjective-CJupyter NotebookRubyPython

Github contributions (5)

cvxgrp/cvxportfolio

Jul 2017 - Aug 2017

Portfolio optimization and back-testing.

Role in this project:

Back-end Developer & Data Scientist

Contributions:5 commits, 1 PR, 8 comments in 22 days

Contributions summary:Jonathan contributed to the `cvxportfolio` project by addressing several technical issues, including fixing MultiIndex handling in the code and improving code spacing. They focused on improving the core functionality and stability of the portfolio optimization and back-testing framework. Their work involved modifications across multiple files, including `result.py`, `costs.py`, `risks.py`, `policies.py`, `simulator.py`, and `constraints.py`, indicating involvement in various aspects of the project. They also updated the example `HelloWorld.ipynb` notebook.

portfolio-optimizationoptimizationpythonsimulationconvex-optimization

jonathanng/art_vandelay

Jun 2015 - Dec 2022

Contributions:11 commits, 10 pushes, 1 branch in 7 years 6 months

Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.

Request Free Trial