Summary
Shiva Ghose is a robotics-focused engineering leader with 11 years of experience building autonomy, planning, and controls systems across automotive and field-robotics domains. Based in San Francisco, he progressed through research and hands-on roles at Cruise and Robust.AI before joining NVIDIA, where he now manages synthetic data generation for system software after leading low-speed maneuver and L3 autonomy teams. His background blends a Master’s in Robotics and Autonomous Vehicles with years of applied field internships (including John Deere) and an unfinished PhD, giving him both theoretical depth and practical systems intuition. Known as a roboticist on GitHub, he brings a rare combination of planning/control expertise and production-oriented data generation, helping bridge simulation, perception, and real-world deployment.
10 years of coding experience
9 years of employment as a software developer
Master of Engineering (M.Eng.) Robotics and Autonomous Vehicles, Master of Engineering (M.Eng.) Robotics and Autonomous Vehicles at University of Michigan
Bachelor of Technology (B.Tech.) Electrical and Electronics Engineering, Bachelor of Technology (B.Tech.) Electrical and Electronics Engineering at Vellore Institute of Technology
Doctor of Philosophy (Ph.D.) [incomplete] Robotics, Doctor of Philosophy (Ph.D.) [incomplete] Robotics at Purdue University
English, Tamil, Hindi, German