Senior Staff Software Engineer
CurrentI co-lead the onboard Planner Infrastructure team. We focus on the performance, speed, and reliability of our software and ML models on the self-driving car.
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@waymo.com
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6 phones found area 650, 216, and 330
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Mike Curtiss is listed as Senior Staff Software Engineer at Waymo at Waymo, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at waymo.com, phone signal with area code 650, 216, 330, and a matched LinkedIn profile for Mike Curtiss.
Mike Curtiss previously worked as Senior Staff Software Engineer at Waymo and Senior Staff Software Engineer at Google. Mike Curtiss holds Bs, Computer Engineering from Case Western Reserve University.
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Software Engineer from Google and Facebook with extensive leadership, systems, scalable software, and site operations experience. Launched Cloud Spanner product. CTO at Timeful (acquired by Google 2015). Technical lead for Facebook search aggregation; strong software designer, architect, communicator, and leader. Strong experience in databases, backend infrastructure, machine learning, consumer and enterprise products. An original GoogleNews team member, served as technical lead for multiple teams, with broad experience in backend, frontend, search quality, and scalability. More than 10 patents issued or filed.I like to work with close-knit, talented teams to make people’s lives better through technology. I love building elegant, scalable systems and solving hard technical problems that have never been tackled before.
Listed skills include Software Engineering, Distributed Systems, Machine Learning, Computer Science, and 11 others.
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Mountain View, California, Us
I co-lead the onboard Planner Infrastructure team. We focus on the performance, speed, and reliability of our software and ML models on the self-driving car.
Mountain View, Ca, Us
Engineer-in-Residence with Gradient Ventures• I advised Google's early-stage AI startups to help them build their software stacks, scale their systems, improve product metrics, and cultivate healthy engineering cultures.Engineering Manager for Spanner (2016-2019)• Lead Manager for Cloud Spanner team; opening Google's planet-scale database for enterprise customers on the Google Cloud Platform and growing from $0 to $XXMM ARR: cloud.google.com/spannerBackend Tech Lead / Manager for Goals in Google Calendar• As part of Timeful acquisition, led initiative to build related features in Google Calendar.
(acquired by Google in May 2015)Worked with a world-class, venture-backed startup team on an important mission - helping you make the best use of your time. We brought the best thinking in behavioral research, machine learning (AI), and product design to bear on the problem of time management.
• Technical lead for Search Aggregator service. Re-architected system to gracefully grow as product evolved. Developed asynchronous control-flow framework for managing query execution.• Core team member on Unicorn, the search indexing system that powers GraphSearch.
Mountain View, Ca, Us
• Responsible for design and implementation of software for GoogleNews, a consumer portal with >10M users.• Technical lead for GoogleNews infrastructure – architected systems for data storage, frontend, and backend, webcrawl, data analysis, article clustering, and indexing.• One of three original engineers on the project.
Redmond, Washington, Us
• Developed data-analysis tools used for company-wide software memory performance tuning.
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Mike Curtiss works for Waymo.
Mike Curtiss is listed as Senior Staff Software Engineer at Waymo at Waymo.
AeroLeads has found 1 work email signal at @waymo.com for Mike Curtiss at Waymo.
AeroLeads has found 6 phone signal(s) with area code 650, 216, 330 for Mike Curtiss at Waymo.
Mike Curtiss is based in San Francisco Bay Area, United States while working with Waymo.
Mike Curtiss has worked for Waymo, Google, Timeful, Facebook, and Microsoft.
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Mike Curtiss holds Bs, Computer Engineering from Case Western Reserve University.
Mike Curtiss is listed with skills including Software Engineering, Distributed Systems, Machine Learning, Computer Science, Big Data, Hadoop, Git, and C++.
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