Elad Hoffer
Principal Research Scientist at NVIDIA
Haifa District, Israel
Summary
👤
Senior🎓
Top SchoolElad Hoffer is a Principal Research Scientist with 12 years of experience in deep learning, representation learning and computer vision, currently leading research at NVIDIA after a multi-year tenure at Habana Labs/Intel. He holds a Ph.D., M.Sc. and B.Sc. in Electrical Engineering from the Technion, where his doctoral work focused on deep learning representations. Elad blends academic rigor with product-driven research, having moved algorithms from lab prototypes into inference hardware and production-focused teams. He is experienced across both core research and engineering roles, bridging theory, model optimization and deployment on specialized accelerators. Colleagues know him for subtle expertise in representation learning techniques and practical strategies for making models efficient on real-world hardware.
12 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Deep learning Machine learning, Doctor of Philosophy (Ph.D.) Deep learning Machine learning at Technion - Israel Institute of Technology
Hebrew, English
Github Skills (32)
neural-machine-translation10
python10
metric-learning10
machine-learning10
seq2seq10
numpy10
deep-learning10
gpu10
autograd10
neural-network10
computer-vision10
sequence-to-sequence10
tensor10
gpu-acceleration10
imagenet9
Programming languages (7)
Github contributions (5)
eladhoffer/eladtools
Jun 2014 - Mar 2016
Contributions:49 commits, 35 pushes in 1 year 9 months
eladhoffer/seq2seq.pytorch
Jun 2017 - Mar 2019
Sequence-to-Sequence learning using PyTorch
Contributions:122 commits, 2 PRs, 156 pushes in 1 year 9 months
pytorchsequence-to-sequencedeep-learningneural-machine-translationseq2seq
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