Machine Learning Engineer (Perception), Autonomous Vehicles at NVIDIA
London, England, United Kingdom
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Summary
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Senior
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Siddharth Kothiyal is a Machine Learning Engineer specializing in perception for autonomous vehicles, bringing nine years of experience building low-latency, real-time computer vision and deep learning pipelines at NVIDIA. He combines academic research—an MS in Robotics from Johns Hopkins where he built vision-driven planning and control for aerial manipulators—with hands-on engineering in embedded systems, ROS, C++, Python and PyTorch to take models from simulation to deployment. His background spans kernel- and driver-level work at Samsung, probabilistic NLP research at DRDO, and practical drone systems at NavStik, giving him a rare mix of systems, perception and robotics expertise. At NVIDIA he focuses on R&D for AV perception using both real and synthetic benchmarks to optimize end-to-end ML signals under strict latency constraints. He has a history of open-source and teaching-oriented work (VisMa, GSoC mentor) that reflects a commitment to accessible tooling and reproducible research. Colocated in London, he blends research rigor with production-grade implementation skills useful across robotics and autonomous systems.
9 years of coding experience
4 years of employment as a software developer
Johns Hopkins University
Nanodegree Robotics Software Engineer, Nanodegree Robotics Software Engineer at Udacity
12th Computer Science, 12th Computer Science at Sardar Patel Vidyalaya
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at Manipal Institute of Technology
Master of Science - MS Robotics, Master of Science - MS Robotics at Johns Hopkins Whiting School of Engineering
Contributions:18 commits, 1 PR, 15 pushes in 11 days
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