Curtis Janssen is a software engineer with 32 years of experience applying high-performance computing, parallel programming, and performance analysis to large-scale systems. His career spans national labs—where he led research into exascale architectures and mentored technical staff—and long-term product work at Google on search, Knowledge Graph quality, and Vertex AI Search. He combines deep academic training (Ph.D. in theoretical chemistry from UC Berkeley) with hands-on engineering across retrieval, ranking, and scalable system design. Known for bridging machine architecture insights and software engineering practice, he has a track record of launching and refining production features that impact search quality. Now based in Livermore, CA, he continues to explore efficient software/hardware co-design while mentoring the next generation of engineers. An uncommon strength is his ability to translate quantum-chemistry–level modeling rigor into practical performance solutions for production systems.
32 years of coding experience
15 years of employment as a software developer
Ph.D. Theoretical Chemistry, Ph.D. Theoretical Chemistry at University of California, Berkeley
B.S. Chemistry, B.S. Chemistry at University of Illinois Urbana-Champaign
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