Tomi Kalejaiye is a GPU Architect at NVIDIA with a decade of experience building hardware and software for AI and machine learning workloads. He brings a rare blend of hands-on RTL design, systems-level software development in C++/Python/Java, and machine learning insight informed by graduate training in electrical and computer engineering. His background spans academic nanoscience research—designing a CVD chamber and fabricating plasmonic devices—to industrial projects like a hardware-accelerated stream processing unit and autonomous robotics using ROS, showing comfort across scales from atoms to datacenters. Based in Los Angeles, Tomi is skilled at translating experimental research into practical engineering, and he’s equally at home prototyping DMA-like coroutines in C++ as he is architecting GPU features for large-scale ML. A philosopher-turned-engineer by undergraduate training, he brings analytical rigor and interdisciplinary curiosity to complex system design.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science (B.S.), Engineering Physics and Philosophy, Bachelor of Science (B.S.), Engineering Physics and Philosophy at Emory University
Master of Engineering (M.Eng), Electrical and Computer Engineering, Master of Engineering (M.Eng), Electrical and Computer Engineering at Cornell University
Contributions:2 PRs, 6 pushes, 3 branches in 1 year 6 months
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