Michael Ringenburg

About Michael Ringenburg

I am an experienced manager, technical leader, and researcher with a passion for applying HPC and AI to scientific challenges and high-impact problems.I am currently working as a principal engineer and software architect in the Allen Institute for Brain Science, where I get to use my background in HPC & AI to help neuroscientists working on understanding the brain and addressing degenerative brain diseases.Previously, I managed the Benchmarking and Workloads team within the Azure HPC & AI engineering organization, where we built representative large scale HPC and Generative AI workloads to test the performance, scalability, and functionality of Azure supercomputing infrastructure (H-series HPC virtual machines, and ND-series AI training and inference virtual machines). I also worked as a language architect and compiler team manager for Microsoft\'s AI Accelerator chip (MAIA).Before Microsoft, I worked as a Machine Learning Solution Architect at Cerebras Systems. Prior to that, I spent almost 15 years at Cray (acquired by HPE) where I was responsible for the technical architecture and strategy for AI on High-Performance Computing systems, and co-founded/led the Cray AI Innovation Lab and two AI research teams. Prior to that, I was the technical lead for the Cray XMT C/C++ compiler.

Experience

1. Principal Software Engineer, Allen Institute for Brain Science

   Allen Institute

   Oct 2025 — Present · Seattle, WA, US

Education

• Dartmouth College

  B.A., M.S., Math, Computer Science

  1995 — 2001

• University of Washington

  Doctor of Philosophy (PhD), Computer Science

  2002 — 2014

• University of Washington

  Master of Business Administration - MBA

Skills

• High Performance Computing
• Apache Spark
• Hadoop
• Compilers
• Parallel Programming
• Algorithms
• Deep Learning
• Computer Architecture
• Multithreading
• Distributed Systems
• Parallel Computing
• Software Development
• Computer Science