Summary
Soham Sinha is a Senior System Software Engineer with 11 years of experience specializing in real-time and embedded systems, mixed-criticality design, and timing predictability for safety-critical domains such as automotive and medical devices. Currently at NVIDIA’s Holoscan team, he focuses on bringing deterministic, low-latency GPU execution and scalable sensor processing to edge AI platforms. His PhD-trained background and research contributions (including published work on mixed-criticality scheduling and a partitioning hypervisor implementation for an automotive DriveOS) bridge academic rigor with production-grade system software. He has a track record of architecting inter-sandbox communication, end-to-end real-time task pipelines, and hardware-in-the-loop simulation for complex vehicle platforms. Notably, he avoids quant/high-frequency trading roles and instead pursues predictable, certifiable systems engineering in embedded and safety-critical contexts. Based in Bengaluru, he combines deep OS/hypervisor expertise with practical performance engineering for real-world real-time workloads.
11 years of coding experience
4 years of employment as a software developer
Master of Science (MSc) Computer Science, Master of Science (MSc) Computer Science at University of Alberta
Bachelor of Engineering (BE) Computer Science and Technology, Bachelor of Engineering (BE) Computer Science and Technology at IIEST, Shibpur
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Boston University
English, Hindi, Bengali