Gregory Kimball

Gregory Kimball Email and Phone Number

Building open source libraries for GPU-accelerated data science @ NVIDIA
Santa Clara, CA
Gregory Kimball's Location
San Francisco Bay Area, United States, United States
About Gregory Kimball

I’m leading the development of “libcudf” - the open source CUDA C++ library that accelerates database and dataframe operations. With flexible IO, blazing-fast joins, aggregations and filtering, our library serves diverse domains such as business intelligence, genomics, LLM training and more. We use the latest tools in modern C++ and CUDA to produce software with elegant design, broad feature coverage and best-in-class performance. We're looking for passionate candidates to join our open-source journey: solving issues, crafting proposals, giving and receiving code reviews, and designing the future of accelerated data science. Your work with us makes a lasting public record, showcasing your talent and shaping your career in the long term. If you are interested, please reach out!RAPIDS libcudf: https://github.com/rapidsai/cudfPersonal website: https://gregorykimball.me/

Gregory Kimball's Current Company Details
NVIDIA

Nvidia

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Building open source libraries for GPU-accelerated data science
Santa Clara, CA
Website:
nvidia.com
Gregory Kimball Work Experience Details
  • Nvidia
    Software Engineering Manager
    Nvidia Nov 2021 - Present
    Santa Clara, Ca, Us
    RAPIDS libcudf, the open source CUDA C++ computational core that accelerates database and dataframe operations from ingestion and parsing, to joins, aggregations, and more.
  • Sunpower Corporation
    Senior Software Engineering Manager
    Sunpower Corporation Mar 2020 - Nov 2021
    Richmond, California, Us
    • My team builds and owns controller firmware, IoT monitoring, and operations infrastructure for SunPower’s Helix Storage commercial battery energy storage product. (Python, C++, AWS, Flask)• Deployed continuous integration (CI) infrastructure including unit tests, hardware-in-the-loop functional tests, and cloud-to-edge system tests. (Python, C++, googletest, Buildbot)• Developed machine learning method based on generative-adversarial networks for synthesizing solar resource data and published at 48th IEEE PVSC. (Python, Keras, TensorFlow)
  • Sunpower Corporation
    Principal Software Engineer
    Sunpower Corporation Oct 2016 - Mar 2020
    Richmond, California, Us
    • Created simulations platform to compute project-specific risk profiles based on Lambda microservice and Monte Carlo scenario generator. (Python, AWS, C++)• Anchored valuation for 233 MW of commercial solar project leases with long-term energy forecasts and energy loss accounting. (Python, pvlib)
  • Sunedison
    Staff Reliability Engineer
    Sunedison Jul 2015 - Oct 2016
    Chennai, In
    Developed analytics software for performance of photovoltaic systems and defended higher valuation for solar lease portfolio. (Python, C#, R, NREL/rdtools)
  • Miasolé
    Senior Failure Analysis Engineer
    Miasolé Jul 2013 - Jul 2015
    Santa Clara, Ca, Us
    Developed hardware control and computer vision software as part of US$360M in equipment sales. (C#, Python)
  • Nanosolar
    Characterization And Modeling Engineer
    Nanosolar Oct 2011 - Jul 2013
    Created computer-aided design tools for top electrode manufacturing in solar cells that delivered cost and performance improvements. (C#, SPICE)
  • California Institute Of Technology
    Ph.D Applied Physics
    California Institute Of Technology Aug 2006 - Sep 2011
    Pasadena, Ca, Us
    Mentored research team developing material synthesis and characterization methodology for novel semiconductors (Zn3P2, Cu2O, ZnGeN2, FeS2).
  • Columbia University
    Mechanical Engineering Assistant
    Columbia University Oct 2002 - Jun 2006
    New York, Ny, Us
    Fabricated custom parts from metal, plastic, and ceramic
  • University Of South Florida
    Research Assistant, Chemistry
    University Of South Florida Apr 2005 - Aug 2005
    Tampa, Florida, Us
    Synthesized metal-organic frameworks with novel optoelectronic properties
  • Wyeth Pharmaceuticals
    Research Assistant, Drug Discovery
    Wyeth Pharmaceuticals Apr 2004 - Aug 2004
    New York, New York, Us
    Demonstrated new approach to preparing precursors for Suzuki coupling reactions

Gregory Kimball Skills

Characterization Semiconductors Thin Films Solar Cells R&d Photovoltaics Design Of Experiments Failure Analysis Spectroscopy Jmp Solar Energy Materials Science Nanotechnology Semiconductor Device Device Characterization Surface Chemistry Matlab Afm C# Sql Software Development Chemistry Reliability Metrology Labview Pvd Ellipsometry Database Design Statistics Product Development Data Integration Cross Functional Team Leadership Project Management Team Leadership Embedded Systems R Python .net

Gregory Kimball Education Details

  • Caltech
    Caltech
    Applied Physics
  • Columbia University
    Columbia University
    Chemistry And Economics

Frequently Asked Questions about Gregory Kimball

What company does Gregory Kimball work for?

Gregory Kimball works for Nvidia

What is Gregory Kimball's role at the current company?

Gregory Kimball's current role is Building open source libraries for GPU-accelerated data science.

What is Gregory Kimball's email address?

Gregory Kimball's email address is gr****@****ail.com

What is Gregory Kimball's direct phone number?

Gregory Kimball's direct phone number is +132150*****

What schools did Gregory Kimball attend?

Gregory Kimball attended Caltech, Columbia University.

What are some of Gregory Kimball's interests?

Gregory Kimball has interest in Energy Conversion, Human Interface Devices, Electronic Musical Instruments.

What skills is Gregory Kimball known for?

Gregory Kimball has skills like Characterization, Semiconductors, Thin Films, Solar Cells, R&d, Photovoltaics, Design Of Experiments, Failure Analysis, Spectroscopy, Jmp, Solar Energy, Materials Science.

Who are Gregory Kimball's colleagues?

Gregory Kimball's colleagues are Sowmya Seetharaman, Deon Dsouza, Bradley Newell, Sergey Yanos, Vaishnavi Chauhan, Qian Li, William Wang.

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