# Victor Zhang

> Senior Software Engineer at NVIDIA

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

## Work Experience
### Senior Software Engineer @ NVIDIA
Jan 2022 – Present | San Francisco Bay Area
Trajectory optimization and planning for L2/L2+/L2++ autonomous vehicles.

### Software Engineer @ NVIDIA
Jan 2020 – Jan 2022 | San Francisco Bay Area
Trajectory optimization and planning for L2/L2+/L2++ autonomous vehicles.

### Software Engineer Intern @ DeepMap, Inc.
Jan 2020 – Jan 2020 | San Francisco Bay Area
Localization team.
• Extended the use of GNSS in the localizer.
• Integrated odometer tick measurements into the localizer.
• Improved and benchmarked LIDAR segmentation for more robust ICP.

### Graduate Teaching Assistant @ Stanford University
Jan 2019 – Jan 2020 | San Francisco Bay Area
Graduate level:
• CS 229: Machine Learning (Profs. M. Charikar, T. Ma, and C. Ré, Spring 2020, ~500 students)
• CME 204: PDEs in Engineering (Prof. S. Lele, Winter 2020, ~50 students)
• CS 229: Machine Learning (Profs. M. Charikar, A. Ng, and C. Ré, Fall 2019,  ~400 students)
Undergraduate level:
• CME 102: ODEs for Engineers (Prof. H. Le, Spring 2019, ~50 students)
• CME 106: Introduction to Probability and Statistics for Engineers (Prof. V. Khayms, Winter 2019, ~200 students)

### Autonomous Systems Intern @ A³ by Airbus
Jan 2019 – Jan 2019 | San Francisco Bay Area
• Developed robotics software (Python, ROS) in the Wayfinder team, Airbus' R&D effort to enable self-piloted flight.
• Post-processed in-flight GNSS, INS, ADS-B and RGB data for analytical aircraft labeling via geographic projections.
• Mitigated delay-induced errors via interpolation of aircraft trajectories.

### Visiting Researcher @ National University of Singapore
Jan 2017 – Jan 2018 | South West, Singapore
Bio-inspired robotics (@Advanced Robotics Center):
• Constructed and developed (C, Python) a functioning quadruped robot able to walk up to 0.5m/s using Series Elastic Actuators (SEAs) (1 paper accepted @IEEE ICARM 2018).
• Worked towards a relationship between stride frequency and energy efficiency, based on constraint consistent inverse dynamics.


## Education
### Master of Science - MS in Mechanical Engineering (Robotics)
Stanford University
Jan 2018 – Jan 2020

### Master's degree in Applied Mathematics
CentraleSupélec
Jan 2015 – Jan 2019

### PSI* in Mathematics, Physics and Engineering Sciences
Lycée Louis-le-Grand
Jan 2014 – Jan 2015

### MPSI in Mathematics and Physics
Lycée Henri IV
Jan 2013 – Jan 2014


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

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Source: https://flows.cv/victorzhang
JSON Resume: https://flows.cv/victorzhang/resume.json
Last updated: 2026-03-23