# Hanqi Sun

> solving intelligence at tesla

Location: San Francisco, California, United States
Profile: https://flows.cv/hanqisun

Building robust embedded software systems and high-throughput cloud data infrastructure.

## Work Experience
### Staff Software Engineer, Autopilot @ Tesla
Jan 2019 – Present | San Francisco Bay Area
Having worked across the entire stack of Autopilot and Optimus, my most notable contributions are:
* Real world RL experiments and training pipelines.
* Complete redesign of telemetry feature flags for the tesla fleet.
* Embedded modern C++ for real-time tele-operation, linux system stability, and network security.
* Petabyte level backend infrastructure for fleet data ingestion, processing, querying, and storage.

### Systems Software Engineer @ NVIDIA
Jan 2018 – Jan 2019 | San Francisco Bay Area
C++ SDK for multithreaded low-latency deep learning inference server on Xavier SoC. Drive IX/Jarvis project.

### Senior Thesis in Machine Learning @ Carnegie Mellon University
Jan 2017 – Jan 2018 | Greater Pittsburgh Area
Active size-constrained graphical model learning algorithms

### Research Assistant at Field Robotics Center @ Carnegie Mellon University
Jan 2016 – Jan 2018 | Greater Pittsburgh Area
Publications:
Robust Plant Phenotyping via Model-based Optimization (IROS 2018).
High-throughput Robotic Phenotyping of Energy Sorghum Crops (FSR 2017).

3D plant point cloud simulation in Matlab. Feature extraction in Tensorflow/Torch.

### Software Engineer Intern @ Microsoft
Jan 2017 – Jan 2017 | Redmond, WA
Browser compatibility testing in Selenium Webdriver.
Anomaly detection with Azure ML, Trident Engine, Bing Dynamic Crawler.


## Education
### Bachelor’s Degree in Computer Science;
Carnegie Mellon University


## Contact & Social
- LinkedIn: https://linkedin.com/in/hanqi-sun

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