Nicholas Charron

Staff Machine Learning Engineer at Rivian

Palo Alto, California, United States
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Summary

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Senior
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Top School
Nicholas Charron is a Staff Machine Learning Engineer with a PhD in Robotics from the University of Waterloo and nine years of experience building end-to-end robotics and perception systems for AR/VR and field robotics. He led flagship dataset and tooling efforts at Meta Reality Labs—helping publish multiple Aria/Quest datasets and contributing one of the top open-source Aria libraries used by dozens of labs—then moved to production ML at Rivian. His strengths span computer vision, lidar-visual-inertial SLAM, sensor calibration, and scalable data pipelines, combined with hands-on system integration from hardware to deployed models. As a founder-CEO he translated research SLAM and defect-detection models into commercial inspection products, demonstrating an uncommon blend of research rigor and product delivery. Based in Palo Alto and working in the US as a Canadian, he brings both academic depth and practical engineering leadership to complex perception challenges.
code9 years of coding experience
job7 years of employment as a software developer
bookDoctor of Philosophy - PhD, Civil & Mechatronics Engineering, Doctor of Philosophy - PhD, Civil & Mechatronics Engineering at University of Waterloo
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Github Skills (26)

depth-estimation10
pcl10
robotics10
utilities10
gps10
lidar-data10
computer-vision10
filtering10
lidar10
point-cloud10
opengl10
slam10
ros10
optimization10
visualization9

Programming languages (7)

ShellC++RustHTMLJupyter NotebookMATLABPython

Github contributions (5)

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nickcharron/coding_exercises

Nov 2019 - Mar 2025

Contributions:7 pushes, 1 branch in 5 years 5 months
This repo is a set of nodes for ROS to filter point clouds with the goal of removing snow in Lidar data.
Contributions:1 review, 56 commits, 3 PRs in 5 years 1 month
lidar-datapoint-cloudros
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