Summary
Gautam Salhotra is a research scientist in the Bay Area with 11 years of expertise at the intersection of robotics, controls, and applied machine learning, currently working at Google DeepMind after roles at Intrinsic and a PhD in Robotics from USC. He has a strong track record building real-world robotic systems—from manipulator control and optimal control applications to R&D and resident roles—augmented by internships at Amazon Robotics and Bosch and industry work at Symbotic and MathWorks. His background blends deep academic training (PhD + advanced degrees from Georgia Tech, UT Austin, and IIT Bombay) with hands-on production experience designing and shipping algorithms for industrial manipulators and simulation tooling. Notably, he transitioned from academic research to embedded product-focused R&D, reflecting an ability to translate complex theory into deployable robotic solutions.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Robotics, Doctor of Philosophy - PhD Robotics at University of Southern California
Master's Degree Mechanical Engineering, Master's Degree Mechanical Engineering at The University of Texas at Austin
Master’s Degree Computer Science, Master’s Degree Computer Science at Georgia Institute of Technology
Indian Institute of Technology Bombay