Sr. Director, AI Architecture | HW/SW Modeling | Winning Inference Benchmarks
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Assessing your cultural and operational fit
Highly motivated architect with 20+ years of demonstrated expertise in processor architecture, performance, and modeling. Focused on data center, high performance computing, and deep learning.
University of Illinois Urbana-Champaign
Master of Science (M.S.), Computer Systems Architecture
January 1, 2001 – January 1, 2003
University of Illinois Urbana-Champaign
Bachelor of Science (B.S.), Computer Engineering
January 1, 1997 – January 1, 2001
NVIDIA
Sr. Director of AI Architecture
March 1, 2025 – Present
NVIDIA
Director, Deep Learning Architecture
July 1, 2021 – March 1, 2025
NVIDIA
Principal Deep Learning and GPU Performance Architect
July 1, 2017 – July 1, 2021
NVIDIA
Senior Deep Learning and GPU Performance Architect
August 1, 2016 – July 1, 2017
Intel Corporation
Lead CPU Performance Architect
January 1, 2013 – August 1, 2016
Intel Corporation
CPU Performance Architect
December 1, 2010 – December 1, 2013
Intel Corporation
CPU Achitecture Researcher
October 1, 2009 – December 1, 2010
Intel Corporation
CPU Simulator Architect
November 1, 2005 – October 1, 2009
Intel Corporation
CPU Validation Engineer
February 1, 2004 – November 1, 2005
University of Illinois at Urbana-Champaign
Undergraduate and Graduate Researcher
September 1, 2000 – December 1, 2003
Urbana-Champaign, Illinois Area
Cultural Fit Analysis
The candidate has a long tenure at two major semiconductor companies (Intel and NVIDIA), indicating loyalty and ability to thrive in large, structured environments. The focus on deep learning, GPU, and CPU architecture aligns well with high-performance computing and innovation-driven cultures. The target role of 'FPGA Developer' is a slight pivot from their direct experience in CPU/GPU architecture, but the underlying principles of hardware design, performance optimization, and system architecture are highly transferable. The candidate's background suggests a strong fit for a culture that values technical depth, innovation, and leadership in hardware development.
Soft Skills & Operational Fit
The candidate's career progression from engineer to Sr. Director at NVIDIA and Lead Architect at Intel demonstrates strong leadership, team management, and strategic planning abilities. The descriptions highlight a passion for building leaders and driving performance, indicating a proactive and results-oriented approach. Experience in managing teams for performance modeling and analysis suggests strong project management and collaboration skills.