Summary
Kais Kudrolli is a Senior Member of Technical Staff II at Cerebras Systems with 11 years of experience building high-performance compute and ML systems, blending chip-aware software engineering with research in computationally efficient deep learning. He holds an MS in Electrical Engineering from Stanford, where his research focused on efficient deep learning and NLP, and a BS in ECE from Carnegie Mellon. Kais transitioned from logic design on IBM’s POWER processors to software and research roles, giving him a rare cross-domain fluency between microarchitecture and ML software stacks. Based in the Bay Area, he has steadily advanced at Cerebras from intern to senior technical staff, signaling both deep technical impact and strong delivery in production hardware-software co-design. Notably, his background suggests an unusual strength in translating processor-level constraints into algorithmic and software optimizations for large-scale ML workloads.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS Electrical and Computer Engineering, Bachelor of Science - BS Electrical and Computer Engineering at Carnegie Mellon University
Master of Science - MS Electrical Engineering, Master of Science - MS Electrical Engineering at Stanford University
English, Spanish, Urdu, Chinese