Tim Zaman
Member Of Technical Staff at OpenAI
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolTim Zaman is a seasoned AI infrastructure engineer and leader with 11+ years building large-scale ML systems and supercomputers, currently a Member of Technical Staff at OpenAI driving frontier cluster design. He has led AI infra and platform teams at Tesla (Autopilot, Optimus), contributed to xAI and DeepMind productivity engineering, and worked on deep learning systems at NVIDIA—combining hands-on systems coding with org-level platform strategy. A founder and former PhD researcher in imaging and robotics, he brings deep expertise in data pipelines, video decoding, distributed training APIs, and productionizing ML workloads. Tim is an active open-source contributor—his work on NVIDIA/DIGITS added editor and dataset augmentation features—demonstrating fluency across UI, backend, and data-processing concerns. Based in San Francisco, he blends academic rigor with product-minded engineering and a penchant for building the compute that powers cutting-edge AI. Something not obvious: he pairs low-level C++ systems experience with high-level platform leadership, making him comfortable from device drivers to cluster orchestration.
11 years of coding experience
16 years of employment as a software developer
MSc Robotics, MSc Robotics at Delft University of Technology
English, German, Dutch, western frisian
Stackoverflow
2,699reputation
313kreached
29answers
13questions
gpu
top-5%
opencv
top-1%
matrix
top-1%
Github Skills (28)
opencv10
matrix10
python10
model-driven9
javascript9
gpu9
modeling9
model-driven-development9
data-augmentation9
model-building9
html9
torch-net8
deep-learning8
uid8
front-end-development8
Programming languages (17)
Github contributions (5)
NVIDIA/DIGITS
May 2016 - Oct 2016
Deep Learning GPU Training System
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:6 commits, 9 PRs, 1 branch in 4 months
Contributions summary:Tim implemented the Ace Editor within the repository, likely for code editing capabilities. They also rearranged model job templates and incorporated a "Related Jobs" feature, demonstrating work on the application's structure and data display. Furthermore, they added functionality for Torch dataset augmentation, enhancing data preprocessing capabilities. These changes span UI and backend adjustments.
deep-learninggputorchmachine-learningtraining
TimZaman/timzaman.github.io
Mar 2019 - Mar 2025
Tim Zaman's Personal Website
Contributions:6 PRs, 73 pushes, 1 branch in 6 years 1 month
cssjavascripttimzaman
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