# Curtis Janssen, PhD > Software Engineer at Rogo, Ex-Google Location: Livermore, California, United States Profile: https://flows.cv/curtisjanssenphd Applying high performance computing to interesting problems, drawing on experience in parallel programming models, performance analysis, machine architecture, and software engineering. ## Work Experience ### Software Engineer @ Rogo Jan 2025 – Present ### Software Engineer @ Google Jan 2024 – Jan 2025 | Sunnyvale, California, United States Vertex AI Search - Quality ### Software Engineer @ Google Jan 2015 – Jan 2024 | Mountain View, California, United States Google search query classification. Result retrieval and ranking. ### Software Engineer @ Google Jan 2014 – Jan 2015 | Mountain View, California, United States Launch and refinement of Knowledge Panels for Google Search verticals. ### Software Engineer @ Google Jan 2012 – Jan 2014 | Mountain View, California, United States Google Knowledge Graph quality measurement, improvement, and entity reconciliation. ### Distinguished Member of the Technical Staff @ Sandia National Laboratories Jan 1998 – Jan 2011 | Livermore, CA Maintain various long term projects while pursuing other novel strategic technology directions. Mentor and develop junior staff preparing them to take over projects once they have been established. Current projects involve exploring software and hardware architectures for the exascale-class machines expected to be available in the 2020 timeframe. ### Acting Manager @ Sandia National Laboratories Jan 2006 – Jan 2008 I managed the Scalable Computing Research and Development Department, which maintains expertise in many aspects of high performance computing, enabling it to conduct an integrated research program that can address the interplay of hardware, middle-ware, and applications in modern computing environments. Particular areas of expertise include lightweight operating systems, performance analysis tools, commodity cluster software stacks, storage, component architectures for scientific computing, nonlinear optimization, flexible frameworks for solving PDEs, and computational chemistry. ### Wiley Visiting Scientist @ Pacific Northwest National Laboratory Jan 2009 – Jan 2009 Worked with PNNL scientists to explore issues and strategies for adapting the NWChem quantum chemistry code to exascale computing. ## Education ### Ph.D. in Theoretical Chemistry University of California, Berkeley ### B.S. in Chemistry University of Illinois Urbana-Champaign ## Contact & Social - LinkedIn: https://linkedin.com/in/curtis-janssen-phd-4404547 - Portfolio: http://www.ca.sandia.gov - Portfolio: http://www.mpqc.org - Portfolio: http://sst.sandia.gov --- Source: https://flows.cv/curtisjanssenphd JSON Resume: https://flows.cv/curtisjanssenphd/resume.json Last updated: 2026-04-10