Jonathan Tremblay
Redmond, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolJonathan Tremblay is a research-driven software engineer with 12 years of experience at the intersection of synthetic data, computer vision, and robotics, having led applied research efforts at NVIDIA and built production data systems at Microsoft. He specializes in generating and randomizing synthetic datasets to bridge the reality gap for detection, pose estimation, and vision-based grasping, and has open-sourced tooling (e.g., NDDS) used in ROS ecosystems. A published author and frequent speaker at CoRL, ICRA and CVPR workshops, he combines rigorous academic training (PhD, McGill) with hands-on system design in PyTorch, UE4 and distributed learning pipelines. Beyond publishing, he has practical impact: shipping metrics and Spark/Cosmos pipelines used for Windows device decisions and mentoring teams as a lead researcher and lecturer.
12 years of coding experience
9 years of employment as a software developer
Undergrad, Major in Video Games Development, Undergrad, Major in Video Games Development at Université du Québec à ChicoutimiMater's, Computer Science, Mater's, Computer Science at École Supérieur de Génie Informatique de ParisUndergrad, Computer Science, Undergrad, Computer Science at University of GuelphPhD, Computer Science, PhD, Computer Science at McGill University
English, French
Github Skills (88)
python10
pose10
deep-learning10
ros10
object-detection10
computer-vision10
camera-calibration10
segmentation10
pose-estimation10
camera9
image-processing9
deep-dream9
gpu9
pytorch9
machine-learning9
Programming languages (3)
Github contributions (5)
NVlabs/Deep_Object_Pose
Jan 2019 - Nov 2022
Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)
Contributions:7 reviews, 49 commits, 29 PRs in 3 years 10 months
pytorchobject-pose-estimationcorldeep-learninginference
NVlabs/diff-dope
Dec 2023 - Feb 2025
Pose estimation refiner
Contributions:3 reviews, 2 pushes, 50 comments in 1 year 2 months
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