Nathan Pemberton

Applied Scientist at Amazon Web Services (AWS)

Berkeley, California, United States
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Summary

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Nathan Pemberton is an applied scientist based in Berkeley with 11 years of industry and research experience bridging large-scale engineering and advanced research. He currently applies machine learning and systems expertise at AWS after an extended PhD and research stint at UC Berkeley, bringing academic rigor to production-focused problems. His background includes core systems work at Oracle and early software internships, reflecting a comfort with both low-level engineering and applied research. A high-achieving lifelong learner (BS in Computer Engineering with a 3.98 GPA and ongoing PhD work), he combines disciplined engineering habits with curiosity about turning novel research into reliable cloud services. Colleagues can expect a scientist who writes production-quality code and thinks deeply about scalability, reproducibility, and real-world impact.
code11 years of coding experience
job11 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California, Berkeley
bookBS, Computer Engineering: Computer Systems, 3.98, BS, Computer Engineering: Computer Systems, 3.98 at UC Santa Cruz
bookBachelor of Science, Computer Science, Bachelor of Science, Computer Science at Cuesta College
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Github Skills (86)

soc10
rocket-chip10
optimization10
distro10
buildroot10
qemu10
linux10
fpga10
agile10
risc-v10
pydoc10
rocket10
reinforcement-learning10
python-mode10
spike10

Programming languages (11)

ShellC++CScalaVerilogGoHTMLJupyter Notebook

Github contributions (5)

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firesim/FireMarshal

May 2019 - Jul 2022

Software workload management tool for RISC-V based SoC research. This is the default workload management tool for Chipyard and FireSim.
Contributions:5 releases, 36 reviews, 124 commits in 3 years 3 months
risc-vfiresimqemuspikedistro
NathanTP/kaasBenchmarks

May 2021 - Nov 2023

Benchmarks for the KaaS project
Contributions:10 reviews, 88 PRs, 259 pushes in 2 years 5 months
benchmarkkaasbenchmarkskubernetes
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