Stefan Palicki
Distinguished Software Engineer at Ampere
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolStefan Palicki is a Distinguished Software Engineer based in the San Francisco Bay Area with 14 years in software engineering and eight focused on machine learning and AI. He has deep full-stack expertise spanning TensorFlow/PyTorch model performance analysis and distributed training down to processor/coprocessor assembly and kernel patches. Stefan spent nearly a decade at Intel designing software for scalable multinode AI workloads on Nervana processors and earlier led kernel- and driver-level work for Xeon Phi coprocessors. His background also includes building LLVM-based compilers and leading cross-city product prototypes at Samsung, giving him rare fluency across hardware, compilers, and high-performance ML stacks. He combines rigorous software process discipline—requirements, risk assessment, open-source contributions and customer deployments—with hands-on optimization for both software and silicon. Colleagues rely on him for bridging low-level systems engineering and practical AI productionization in performance-constrained environments.
9 years of coding experience
14 years of employment as a software developer
Bachelor of Science (B.Sc.) Computer Science, Bachelor of Science (B.Sc.) Computer Science at Military University of Technology
Github Skills (15)
opencl10
sycl10
openmp10
oneapi10
tbb10
deep-learning10
cpp10
deep-neural-networks10
x86-6410
neural-network9
smithy7
intel7
graph6
python6
conda3
Programming languages (2)
Github contributions (5)
spalicki/onednn-feedstock
Oct 2024 - Nov 2024
A conda-smithy repository for onednn.
Contributions:1 push, 2 branches in 13 days
uxlfoundation/oneDNN
Jan 2023 - Jan 2023
oneAPI Deep Neural Network Library (oneDNN)
Contributions:48 reviews, 1 commit, 48 PRs in 1 day
bfloat16sse41avx512openmpopencl
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