Shridhar Rasal is a seasoned embedded systems and security leader with 14 years of experience designing SoC drivers, firmware, and pre-silicon platforms, now driving Tegra security for autonomous vehicles and IGX virtualization and safety across robotics and vision applications at NVIDIA. He combines deep hands-on expertise in Linux kernel drivers, DLA software stacks, and VLIW firmware performance optimization with program management skills that have led cross-functional teams and delivered measurable KPI improvements. His work spans multimedia, camera, networking and AI domains, and he has filed eight patents covering data center, SoC, AI, and networking innovations. Notably, he transitioned from individual contributor roles into project leadership, blending technical rigor with stakeholder and risk management to secure complex automotive platforms. Based in Pune, he augments formal engineering credentials (BE and MTech) with a Udacity self-driving car nanodegree, reflecting active pursuit of perception and autonomy skills. Colleagues rely on him for pragmatic solutions that balance safety compliance, virtualization performance, and product delivery in high-stakes embedded systems.
14 years of coding experience
12 years of employment as a software developer
Self driving car engineer nanodegree, Deep learning, perception, sensor fusion, path planning, control, Self driving car engineer nanodegree, Deep learning, perception, sensor fusion, path planning, control at Udacity
Master's degree, Electrical, Electronics and Communications Engineering, 8.02, Master's degree, Electrical, Electronics and Communications Engineering, 8.02 at Savitribai Phule Pune University
BE, Computer Science and Engineering, BE, Computer Science and Engineering at Walchand College Of Engineering Sangli
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