# Cong Ding

> Innovating, Engineering @ NVIDIA

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/congding

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## Work Experience
### Principal Software Engineer @ NVIDIA
Jan 2025 – Present | Santa Clara, California, United States
Chief Architect of DGXC Lepton: https://www.nvidia.com/en-us/data-center/dgx-cloud-lepton/

### Founding Engineer @ Lepton AI
Jan 2023 – Jan 2025 | Cupertino, California, United States
[Acquired by NVIDIA] Built the platform from scratch and led infra/backend architecture: AI platform services, multi-cluster Kubernetes, GPU virtualization, scheduling/quota, distributed storage, fleet management, and reliability/compliance.

### Software Engineer @ Confluent
Jan 2020 – Jan 2023 | Mountain View, California, United States
Tiered storage, 10X Kafka (latencies), BufferCache

### Graduate Student Researcher @ Cornell University
Jan 2016 – Jan 2020 | Ithaca, New York, United States
Scalable Shared Logs, Modular Concurrency Control, Software-defined Paxos, Blockchain.
Contributor to the Linux kernel, Kubernetes, etcd, and Kubeflow

### Intern @ Google
Jan 2015 – Jan 2015 | Mountain View, California, United States
In-memory aggregation for real-time YouTube analytics


## Education
### Doctor of Philosophy - PhD in Computer Science
Cornell University

### Bachelor's degree in Computer Science
Tsinghua University

### Master's degree in Computer Science
The University of Göttingen


## Contact & Social
- LinkedIn: https://linkedin.com/in/ccding
- Portfolio: https://cding.org

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Source: https://flows.cv/congding
JSON Resume: https://flows.cv/congding/resume.json
Last updated: 2026-04-12