google > google Employee Directory > Nirmal Jayaram
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Nirmal Jayaram
Senior Director of Engineering
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Location: Mountain View, California, United StatesApprox. Years of Experience: 15
Nirmal Jayaram's Current Workplace
Google
Company Size
2500+
Amount Raised
$26.1M
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.\n\nCheck out our career opportunities at goo.gle/3DLEokh
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Notable Investors
Sequoia Capital, Jeff Bezos, Kleiner Perkins, Andy Bechtolsheim, Ram Shriram
Google
UX Design
Product Management
Software Engineering
Experience
Senior Director of Engineering
Google · Full-time
Oct 2012 - Present
12 yrs 9 mos
Engineering leader in the Apps, Video & Display, and YouTube Ads product areas in Google, responsible for optimizing several aspects of the advertising marketplace ($XXB) considering advertiser goals, monetization, and ecosystem health. I manage a team of around 150 software engineers and data scientists working on several interesting problems (backend advertiser optimizations, understanding and optimizing based on user metrics, acquiring ad inventory in ad exchanges running various types of auctions, machine resource management,...) in this space. Previously: Director of Engineering: October 2020 - April 2023 Senior Staff Data Scientist/ Senior Engineering Manager: May 2018 - October 2020 Staff Quantitative Analyst/ Engineering Manager: June 2016 - April 2018 Senior Quantitative Analyst: June 2014 - May 2016 Quantitative Analyst: October 2012 - May 2014
Lead Modeler
RMS
Jul 2010 - Oct 2012
2 yrs 4 mos
Developed and implemented core statistical models and methodologies for RMS’s simulation-based loss assessment engine.
Stanford University
Sep 2006 - Jun 2010
Ph.D. in Structural Engineering
Sep 2006 - Jun 2010
3 yrs 10 mos
I completed my PhD in Structural Engineering and Master's in Statistics at Stanford University. Thesis: “Seismic risk assessment of infrastructure systems using efficient sampling and data reduction techniques” Several journal and conference publications (2400 citations and h-index of 16, as of 11/2020) on topics involving the applications of optimization and statistics in catastrophe modeling. - Obtained over $70,000 in funding for a research proposal on “Spatial cross-correlation of spectral accelerations at multiple periods: Model development and risk assessments considering secondary earthquake effects”, U.S Geological Survey. Co-authored with Prof. Jack Baker (PI). - Reviewer for numerous journals and conferences.
Master's in Statistics
Sep 2006 - Jun 2010
3 yrs 10 mos
- Coursework: Statistical inference, geostatistics, introduction to ANOVA, Monte Carlo methods, applied multivariate analysis, spatial statistics, statistical learning, bootstrap, stochastic processes, programming abstractions (C++). I served as a consultant with the Department of Statistics, and provided consulting services for research and industry problems dealing with statistics.
Research Engineer (Intern)
AIR Worldwide
Jun 2008 - Aug 2008
3 mos
At AIR, I worked on projects such as modeling spatial correlation of simulated earthquake ground motions and assessing the performance of masonry buildings using insurance claims data and experimental data.
Education
  • 2006 - 2010
    Stanford UniversityPh.D., Structural Engineering
  • 2006 - 2010
    Stanford UniversityM.S., Statistics
  • 2001 - 2005
    Indian Institute of Technology, MadrasDual (B.Tech and M.Tech), Civil Engineering, Infrastructure