John Gunnels is a Distinguished Engineer at NVIDIA with decades of hands-on and leadership experience building mathematical libraries, HPC systems, and quantum simulation software. He has driven large-scale co-design efforts and production bring-up of multiple supercomputers (including writing HPL for Blue Gene and Roadrunner) while also leading teams in AI, quantum software, and high-performance analytics across IBM, AWS, and NVIDIA. A prolific inventor and researcher, he holds 60+ US patents, multiple best-paper awards, three Gordon Bell Awards, and is an eight-time Gordon Bell finalist. John blends deep academic rigor (PhD, UT Austin) with practical "fingers-on-keyboard" engineering, specializing in floating-point emulation, accelerator optimization, and scalable parallel algorithms. Based in Somers, NY, he describes himself on GitHub as a parent, coder, and dog owner—equally comfortable debugging low-level numerical kernels as shaping strategic library roadmaps.
8 years of coding experience
22 years of employment as a software developer
Ph.D Computer Science, Ph.D Computer Science at The University of Texas at Austin
Aer is a high performance simulator for quantum circuits that includes noise models
Contributions:25 pushes, 3 branches in 3 months
fmiquantum-circuitsquantum-computingcircuitsvhdl
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