Anthony Xu
Senior ASIC Engineer at NVIDIA
Milpitas, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAnthony Xu is a Senior ASIC Engineer based in Milpitas, California with nine years of professional experience and a deep decade-plus track record contributing to GPU and chip verification and bring-up at NVIDIA. He has driven full-chip RTL and gate-level verification, partition timing and ECO work, power-gating and performance verification across multiple GPU generations, and designed CROP/blender units—skills that bridge low-level silicon behavior to high-level system performance. Anthony also contributes to open-source tooling for accelerating big data on GPUs, notably implementing a UDF compiler and bytecode translation for NVIDIA's Spark RAPIDS project, demonstrating fluency in both hardware validation and GPU-accelerated software stacks. With an M.S. in Computer Engineering from Carnegie Mellon, he pairs rigorous academic research on SoC interconnects and voltage-island circuits with hands-on production verification, making him effective at diagnosing subtle cross-domain integration issues.
9 years of coding experience
1 year of employment as a software developer
Horace MannM.S., Computer Engineering, M.S., Computer Engineering at Carnegie Mellon University
Github Skills (8)
javas10
big-data10
apache-spark10
code-analysis10
gpu10
bytecode10
java10
scala10
Programming languages (10)
Github contributions (5)
NVIDIA/spark-rapids
Jul 2020 - Oct 2022
Spark RAPIDS plugin - accelerate Apache Spark with GPUs
Role in this project:
Back-end Developer
Back-end DeveloperContributions:142 reviews, 30 commits, 37 PRs in 2 years 3 months
Contributions summary:Anthony primarily contributed to the development of a UDF compiler for accelerating Apache Spark with GPUs. Their work focused on implementing the core functionality of the UDF compiler, including bytecode analysis, expression translation, and support for various Java bytecode instructions. They added unit tests for the UDF compiler, ensuring correctness. Furthermore, the user worked on inlining method calls and implementing datetime-related instructions, adding more functionality to the compiler.
gpu-accelerationgpuapachebig-dataspark
wjxiz1992/cudf
May 2021 - Nov 2024
cuDF - GPU DataFrame Library
Contributions:16 PRs, 37 pushes, 25 branches in 3 years 7 months
cudadataframe-librarycudfgpu-accelerationgpu
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