Ramu Ramamurthy is a Senior Software Engineer with 12+ years building resilient cloud and networking systems, currently working on NVIDIA’s Base Command Platform for AI training. He has repeatedly led small backend teams to design and ship production microservices and distributed systems—most recently driving GA features for IBM Cloud networking (DirectLink, Transit Gateway, Cloud Load Balancer) deployed on geo-distributed Kubernetes. His background spans embedded networking and high-performance routing software at companies like Fujitsu, Cisco, Ciena and Tellium, giving him deep systems-level expertise from ASICs to cloud services. He’s a pragmatic technical leader who prefers startup-like teams, comfortable taking projects from scratch to customer adoption while contributing upstream to projects such as Open vSwitch and OpenStack. Based in Sunnyvale, CA, he combines PhD-level academic training with decades of hands-on implementation across SDN, load balancing, and networking protocols. A not-obvious strength is his ability to move between low-level embedded C++ and modern Go-based cloud services, making him effective across the full stack of networking infrastructure.
12 years of coding experience
22 years of employment as a software developer
PhD Computer Science, PhD Computer Science at University of California, Davis
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Ramu Ramamurthy - Senior Software Engineer at NVIDIA