Principal Technical Product Manager - Edge HPC And Sensor Processing at NVIDIA
Alexandria, Virginia, United States
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Summary
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Adam Thompson is a Principal Technical Product Manager at NVIDIA in Alexandria, VA, focused on Edge HPC and real-time sensor processing for computational instruments. He defines and ships GPU-based platforms like the Holoscan SDK that connect high-bandwidth, low-latency sensors to Python/C++ pipelines and enable online AI model retraining and sensor-defined digital twins. A hands-on open-source builder, he created cuSignal (making the initial commit), co-created MatX, and taught GPU computing as an adjunct at Georgetown; cuSignal saw over 400,000 Anaconda downloads and later migrated into CuPy. With deep roots in signal processing, solutions architecture, and public-sector communications (radar, sonar, SDR/5G), he combines engineering depth and product strategy to accelerate AI-enabled sensor systems.
6 years of coding experience
15 years of employment as a software developer
MS Electrical & Computer Engineering, MS Electrical & Computer Engineering at Georgia Institute of Technology
Contributions: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.
Contributions:2 PRs, 314 pushes, 120 branches in 3 years 9 months
cusignal
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Adam Thompson - Principal Technical Product Manager - Edge HPC And Sensor Processing at NVIDIA