Mark Stephenson is a Principal Research Scientist at NVIDIA with over a decade of experience applying compilers, architecture, and machine learning to optimize CUDA and graphics workloads. He holds a PhD from MIT where he led cross-disciplinary projects that used empirical performance data and learning techniques to automatically generate compiler and runtime optimizations. His career includes impactful systems work at IBM Research—writing a fault-resilient FFT library for PERCS and a Hadoop-based HTML parser for Power7 clusters—and early hardware design and VLSI experience from the University of Utah. Comfortable across Verilog, C, F#, Scala, and JavaScript, he blends low-level hardware insight with modern ML-driven tooling. Known for tackling both theory and production-scale engineering, he repeatedly bridges language/runtime research with practical, high-performance implementations. Based in Austin, he brings rare deep expertise in compiler analyses for heterogeneous compute and graphics platforms.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Massachusetts Institute of Technology
Contributions:6 releases, 8 commits, 2 PRs in 4 years
instrumentationgpgpuflexible
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Mark Stephenson - Principal Research Scientist at NVIDIA