James Smith is a Member of the Technical Staff at AMD specializing in open-source C++ software for AI and data science, backed by 11 years building high-performance numerical and quantum computing systems. He has led cross-company efforts—most notably teaming with IBM to deploy quantum models—and authored performance-critical C++/Python libraries such as fast-pauli. His background includes porting and optimizing GraphBLAS for custom hardware, contributing a C++23 std::ranges::iota implementation to LLVM's libc++, and improving PySCF quantum chemistry modules. James bridges academic rigor from a PhD in Chemical Physics with hands-on systems engineering, routinely delivering multithreaded, GPU-accelerated solutions that produced 10x speedups in production models. Colocated in New York, he combines deep domain knowledge in quantum algorithms with practical OSS stewardship that surfaces in both research and widely used repositories.
11 years of coding experience
8 years of employment as a software developer
BS, Chemistry, BS, Chemistry at Davidson College
N/A, Physics, A, N/A, Physics, A at Boston College
Doctor of Philosophy (Ph.D.), Chemical Physics, Doctor of Philosophy (Ph.D.), Chemical Physics at University of Colorado Boulder
Contributions:2 reviews, 19 commits, 11 PRs in 2 years 6 months
Contributions summary:James primarily contributed to the `pyscf/pyscf` repository by fixing bugs and improving functionality in the `shciscf` module. Their work involved modifying example files to demonstrate the correct use of `SHCI.integralFile` and `SHCI.runtimeDir`. The changes also included the addition and modification of example files to showcase different features and configurations of the `shciscf` module for quantum chemistry calculations.
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James Smith - Member Of The Technical Staff (C AI OSS) at AMD