Rob Armstrong
Principal Technical Product Manager - CUDA at NVIDIA
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRob Armstrong is a principal technical product manager at NVIDIA with over a decade designing and shipping high-performance compute and FPGA-accelerated systems across image processing, wireless, industrial control, and aerospace markets. He combines hands-on HDL and systems coding (VHDL/Verilog, C/C++, embedded Linux) with strategic product leadership, having led global teams at Xilinx to scale AI and software acceleration adoption. Rob has a strong track record closing the “last mile” for customers—delivering drivers, IP, reference platforms, and training that turn research prototypes into production deployments. His work spans embedded and datacenter domains, from Zynq-based edge solutions and video transcoding stacks to CUDA productization at NVIDIA. Active in the FPGA developer community, he has contributed tooling and Vitis tutorials that ease platform onboarding for embedded developers. Trained as an electrical engineer at the University of Colorado Boulder, he blends deep hardware expertise with product and go-to-market experience.
11 years of coding experience
15 years of employment as a software developer
BSEE, Electrical Engineering, BSEE, Electrical Engineering at University of Colorado at Boulder
Github Skills (8)
fpga10
vitis10
embedded10
sys10
cprogramming-language7
windowsrt7
c-language7
bash6
Programming languages (5)
Github contributions (5)
Xilinx/Vitis-Tutorials
Jul 2020 - May 2021
Vitis In-Depth Tutorials
Role in this project:
Embedded Systems Engineer / IoT Developer
Embedded Systems Engineer / IoT DeveloperContributions:139 commits, 25 PRs, 84 pushes in 9 months
Contributions summary:Rob's commits focus on modifications within the `vitis-tutorials` repository, indicating work related to embedded systems and FPGA development using Xilinx's Vitis platform. The commits show changes to build scripts and source code, likely related to building and running applications on embedded platforms. Specific changes include updating build configurations, introducing code for a "getting started" pathway, and adding platform creation tracks.
vitisembeddedfpgaembedded-systemsaiengine
rwarmstr/cuda-samples
Dec 2024 - May 2025
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
Contributions:22 PRs, 123 pushes, 2 branches in 5 months
cudacuda-toolkit
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