Peter Ma

Operations Program Manager

San Francisco Bay Area United States
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
Peter Ma is an operations and technical program manager with 10 years’ experience delivering hardware and AI infrastructure programs across Amazon Lab126, Tesla, and now Google in the San Francisco Bay Area. He combines deep NPI and supply-chain expertise—BOM cost optimization, MBOM strategies, and build matrix management—with hands-on problem solving for mechanical enclosures, tooling, and production ramp issues. Equally comfortable coordinating cross-functional stakeholders and diving into engineering failure analysis, he has driven launches for consumer devices like Echo and Fire TV and supported Model Y production changes. Peter also contributes backend performance fixes to open-source ML compiler work (XLA), improving cost analysis and stability—an unusual blend of operations program leadership and low-level ML infra contributions.
code10 years of coding experience
job15 years of employment as a software developer
bookBS Industrial Technology, BS Industrial Technology at San José State University
languagesEnglish, Chinese, Chinese
github-logo-circle

Github Skills (7)

xla10
c-language10
cprogramming-language10
performance-optimization10
tensorflow9
compiler8
google8

Programming languages (1)

C++

Github contributions (5)

github-logo-circle
openxla/xla

Aug 2019 - Sep 2022

A machine learning compiler for GPUs, CPUs, and ML accelerators
Role in this project:
userBack-end Developer & Performance Engineer
Contributions:8 commits in 3 years 1 month
Contributions summary:Peter primarily worked on improving the XLA compiler's cost analysis and related utilities. Their contributions include fixing memory cost estimations for dynamic update slices, refactoring code related to subcomputation processing, and implementing minor changes to dumping utilities. The user's work also involved adding checks to prevent potential crashes and ensure more robust handling of different instruction types. These modifications aimed to enhance the compiler's accuracy and stability.
compilercommunity-drivenmachine-learningmodular
peterma123456789/cantera

Feb 2017 - Oct 2017

Contributions:32 pushes, 2 branches in 8 months
pythonchemicalthermodynamicskineticstransport
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
Peter Ma - Operations Program Manager