Harshit Khaitan
Director, AI Accelerators
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolHarshit Khaitan is a seasoned hardware and systems leader with 12 years driving on-device AI accelerators and ML silicon for consumer and wearable devices. He currently leads AI accelerator efforts for Meta Reality Labs, having previously guided TPU hardware design at Google and SoC integration for NVIDIA Tegra. His expertise spans ASIC design, SOC integration, and edge ML deployment—translating research-grade ML models into power- and form-factor-constrained products. Based in the San Francisco Bay Area, he combines deep engineering rigor from an MS in Computer Engineering with continual CS coursework at Stanford. A practical innovator, he has shepherded chips from tapeout to product in consumer platforms like Pixel and AR/VR devices, revealing a rare blend of system-level vision and hands-on silicon delivery.
12 years of coding experience
10 years of employment as a software developer
BE, Electrical and Electronics, BE, Electrical and Electronics at Manipal Academy of Higher EducationMS, Computer Engineering, MS, Computer Engineering at North Carolina State UniversityStanford Center for Professional Development, Coursework only, Computer Science, Stanford Center for Professional Development, Coursework only, Computer Science at Stanford University
Hindi
Github Skills (11)
gpu10
python10
numpy9
neural-network9
machine-learning9
deep-learning9
tensor8
acceleration8
gpu-acceleration8
tensorflow8
autograd7
Programming languages (1)
Github contributions (3)
harshitkhaitan/Java-Projects-1
Jul 2013 - Jul 2013
Contributions:7 commits in 1 day
harshitkhaitan/pytorch
Jan 2023 - Jan 2023
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:2 pushes, 1 branch in 1 day
pythongpu-accelerationdeep-learninggpuacceleration
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