Summary
Raghavendra Manjegowda is a Senior System Software Engineer with 11 years of experience specializing in operating systems, computer architecture, and sensor middleware for autonomous driving. He designs and implements efficient sensor abstraction layers and zero-copy memory frameworks for LiDAR, RADAR, GPS and IMU streams, currently contributing to NVIDIA’s Driveworks SDK after similar work at Samsung. His background spans embedded systems, real-time drivers, and IoT localization research, giving him a strong end-to-end view from firmware to high-level autonomous stack integration. Trained in sensor fusion and self-driving car technologies via Udacity nanodegrees and holding a Master’s in Computer Engineering, he blends academic grounding with production-grade engineering. Colleagues rely on him to make complex sensor pipelines robust and low-latency—an often-unseen but critical enabler of reliable autonomy.
11 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree Electrical Electronics and Communications Engineering, Bachelor’s Degree Electrical Electronics and Communications Engineering at Visvesvaraya Technological University
Nanodegree Sensor Fusion, Nanodegree Sensor Fusion at Udacity
Master’s Degree Computer Engineering, Master’s Degree Computer Engineering at Syracuse University
English, Kannada