Summary
Raghavendra Manjegowda is a senior system software engineer focused on embedded systems and autonomous vehicle software, currently shaping sensor interfaces and middleware in NVIDIA's DriveWorks stack. Over a decade of experience across NVIDIA, Samsung, and earlier R&D roles, he has built robust sensor pipelines (LiDAR, RADAR, GPS/IMU, CAN) and zero-copy memory management frameworks from scratch. His deep grounding in operating systems and computer architecture informs work at the intersection of embedded systems, robotics, and sensor fusion. Based in San Francisco, he combines hands-on engineering with a strong academic background, including a Master’s in Computer Engineering from Syracuse and Udacity nanodegrees in Sensor Fusion and Self-Driving Cars. An active practitioner with a GitHub portfolio featuring hobby projects and Docker-built environments (ragumanjegowda/docker), he translates complex AV requirements into reliable, scalable software.
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
Master’s Degree, Computer Engineering, Master’s Degree, Computer Engineering at Syracuse University
Udacity
English, Kannada