Ji Feng
Robotics Systems Engineer at NVIDIA
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJi Feng is a Robotics Systems Engineer based in San Francisco with a year of industry experience building simulation, firmware, and embedded systems for robotics and automotive applications. Currently at NVIDIA, Ji develops robotic simulations on Omniverse/Isaac and previously contributed sensor and quadruped simulations as well as body-control firmware for Tesla’s vehicles and Semi truck. He brings a mechatronics background from the University of Waterloo and hands-on expertise in ROS, C++, Python, embedded C, and ML-enabled vision pipelines that powered an award-winning display testing tool at ecobee. Ji has practical autonomy experience from WATonomous and research work in human-robot interaction, plus a track record of shipping factory-scale tooling and automated test infrastructure. Notably, he blends low-level firmware work with high-fidelity simulation—making him comfortable moving a capability from hardware prototype to virtual testing and production scale.
1 year of coding experience
4 years of employment as a software developer
Certificate Program, Certificate Program at International BaccalaureateBachelor of Applied Science - BASc, Mechatronics Engineering and Artificial Intelligence Option with distinction, 85+, Bachelor of Applied Science - BASc, Mechatronics Engineering and Artificial Intelligence Option with distinction, 85+ at University of Waterloo
Chinese, English
Github Skills (7)
nvidia-isaac10
robotics10
urdf3
testing3
omniverse3
nvidia2
ai2
Programming languages (1)
Github contributions (5)
stevfeng/IsaacLab
Aug 2025 - May 2026
Unified framework for robot learning built on NVIDIA Isaac Sim
Contributions:17 pushes, 3 branches in 8 months
isaac-sim/IsaacLab
Feb 2025 - May 2026
Unified framework for robot learning built on NVIDIA Isaac Sim
Contributions:2 reviews, 3 PRs, 11 pushes in 1 year 2 months
nvidia-isaacrobot-learningroboticsomniverse-kit-extensionisaac-sim
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