Sina Hassani is a firmware and systems engineer with a decade of experience building high-performance, power-efficient software for AI hardware, currently a Member of Technical Staff at OpenAI after leading firmware for Google Silicon’s Tensor accelerators. At Google he set technical direction for teams working on TPU, DSP, and EdgeTPU runtimes, driving launches from Pixel mobile SoCs to data-center accelerators and bridging hardware architects with compiler and runtime teams. His background spans low-level firmware, I/O optimization (including patented SSD work at Samsung), and earlier full-stack web development, giving him rare cross-layer fluency from filesystem and block layers to chip firmware. Based in the Bay Area and trained in computer engineering (UC Santa Cruz), he combines delivery-focused leadership with hands-on engineering that speeds AI hardware to market.
10 years of coding experience
14 years of employment as a software developer
Diploma Mathematics & Physics, Diploma Mathematics & Physics at Allameh Helli High School
Bachelor of Science (B.S.) Computer Hardware Engineering, Bachelor of Science (B.S.) Computer Hardware Engineering at Shahid Bahonar University of Kerman
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Sina Hassani - Member Of Technical Staff at OpenAI