Summary
Manoj Rao is a seasoned AI engineering leader with nine years of experience building efficient ML and deep learning inference systems across internet-scale cloud infrastructure and embedded devices. He combines low-level systems expertise—Linux kernel and device driver development, Android HALs, and board bringups—with high-performance ML engineering using PyTorch, CUDA, OpenCL and C++. His career spans impactful roles at Tesla, AWS, Amazon Lab126 and Qualcomm, delivering autonomy, robotics, consumer devices and cloud AI services where performance, power and reliability mattered. Now a Fellow at AMD, he focuses on bridging compilers, runtimes and hardware for large-scale inference and training workloads. Unusually, he pairs chip-to-cloud knowledge with hands-on embedded factory bringups and power/thermal optimizations, enabling product decisions that survive real-world constraints. Based in the San Francisco Bay Area, he brings a rare blend of computer architecture, distributed systems and production-hardened ML engineering.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (BE) Computer Science, Bachelor of Engineering (BE) Computer Science at RV College Of Engineering
University of California, Los Angeles
English, Kannada