Adam Thompson
Principal Technical Product Manager - Edge HPC And Sensor Processing at NVIDIA
Alexandria, Virginia, United States
Summary
🤩
Rockstar🎓
Top SchoolAdam Thompson is a Principal Technical Product Manager at NVIDIA with seven years of product leadership focused on GPU-accelerated edge HPC and real-time sensor processing. He built and evangelizes platforms like the Holoscan SDK to connect high-bandwidth, low-latency sensors to GPU pipelines for scientific and public-sector instruments, enabling online AI retraining and digital-twin workflows. A hands-on engineer at heart, Adam created cuSignal—the widely used RAPIDS signal-processing library—and made the project's initial commit, helping bring GPU-accelerated signal processing to Python users. His background blends solutions architecture, academic teaching, and deep signal-processing expertise from roles at Georgia Tech, Leidos, and defense contractors, giving him a rare perspective across research, product, and customer deployment. Based in Alexandria, VA, he excels at turning complex, latency-sensitive requirements into practical, scalable software and hardware platforms.
7 years of coding experience
15 years of employment as a software developer
BS Electrical Engineering, BS Electrical Engineering at Clemson UniversityMS Electrical & Computer Engineering, MS Electrical & Computer Engineering at Georgia Institute of Technology
Github Skills (6)
cuda10
rapids10
c-language10
cprogramming-language10
cupy10
signal-processing10
Programming languages (5)
Github contributions (5)
rapidsai/cusignal
Sep 2019 - Jan 2023
cuSignal - RAPIDS Signal Processing Library
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 105 reviews, 346 commits in 3 years 5 months
Contributions summary:Adam made the initial commit to the `cusignal` repository, which is a RAPIDS Signal Processing Library. Their contributions included the initial setup of the library. They made file-specific changes, which included importing necessary modules and initial implementation of fundamental signal processing functionality.
signaldigital-signal-processingbrain-computer-interfaceconvolutioncusignal
awthomp/cusignal-dev
Jan 2020 - Sep 2023
cuSignal
Contributions:2 PRs, 314 pushes, 120 branches in 3 years 9 months
cusignal
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