Chia-Hung Lin

Hardware test engineer for LiDAR at Waymo, with a background in robotics and software.

About

I build the test systems that bring LiDAR sensors from prototype to production at Waymo. I design automated test equipment, set up final assembly and calibration lines with manufacturers in the US and overseas, and track failures back to their root cause, whether that’s hardware design or software.

Before Waymo, I studied robotics at Johns Hopkins. While there I worked on a robotic grasping dataset, a computer-vision system that found free library seats, and a UR5 arm that plays Jenga. I grew up in Taiwan and studied EECS at National Tsing Hua University.

Python
C++
Arduino
MATLAB
ROS
Creo
SolidWorks
Altium
English
Mandarin Chinese

Experience

Nov 2019 – PresentMountain View, CA

Hardware Test Development Engineer, LiDAR, Advanced Manufacturingat Waymo

Design, develop and build automated test equipment for pre-production electro-mechanical LiDAR hardware, used in manufacturing, reliability and design validation.
Lead final assembly, test, packaging and calibration for LiDAR production lines with US and overseas manufacturers.
Run failure analysis and yield-improvement efforts to find test coverage gaps, hardware design problems and software bugs.
Built a Robotic Process Automation system that monitors RMA, production yield and failure triage. Monitoring turnaround went from 24 hours to 10 minutes, and RMA turnaround went from 30+ days to under 10 days, with more than 75% of tasks automated.

Jul 2019 – Oct 2019Mountain View, CA

Hardware Test Engineer Intern, Supply Chainat Waymo

Designed robotic test infrastructure with automatic parameter search and optimization, which improved a radio link's performance by 1000x.
Developed a free-space optical communication system that aligns itself to an incoming laser beam.
Designed an ESD dissipation harness and circuitry to fix a factory issue.

Patents & publications

Feb 2024US-11916273-B1

Broadband rotary joint for millimeter wave transmission

Co-inventor. Designed the autonomous robotic validation and data-collection system used to find a workable mmWave link design.

2019IROS

The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints

A. Hundt, V. Jain, C. H. Lin, C. Paxton, G. D. Hager

Education

May 2019

Johns Hopkins University

MSE, Robotics (Automation Science and Engineering track)

Jun 2015

National Tsing Hua University

BS, Electrical Engineering and Computer Science

Projects

Johns Hopkins University · Sep 2018 – Mar 2019

CoSTAR Block Stacking Dataset

A robotic grasping and stacking dataset with more than 10k attempts and 2M frames, published at IROS 2019.

Robotics
Machine Learning

Johns Hopkins University · Sep – Dec 2018

SEAT, library seat detection

Uses the library's existing cameras to tell whether a seat is empty, occupied, or held by someone's belongings.

Computer Vision
Machine Learning

Johns Hopkins University · Feb – May 2018

UR5 Plays Jenga

A UR5 arm with a custom sensing end-effector that plays Jenga on its own, up to 20 levels.

Robotics
Hardware
ROS

Hsinchu, Taiwan · 2013, 2014

ASME Student Design Challenge robots

Remote-controlled competition robots, a nuclear-inspection rover in 2013 and a payload-carrying tricopter in 2014.

Robotics
Hardware

2013 robot video ↗

National Tsing Hua University · 2014

CookIS, multi-recipe cooking guide

A cross-platform app that schedules several recipes step by step so new cooks can make multiple dishes at once.

Mobile
Computer Vision

Industrial Technology Research Institute (ITRI), Hsinchu · 2013

Smark, smart parking

A summer-internship prototype that tracks parked cars and free spaces using cameras and license-plate recognition.

Computer Vision
Web

RexxarCHL/itri_smark ↗

Let's build
something.

Want to talk about test automation, hardware, robotics, or just say hi? My inbox is open.

hi@rexxar.dev