Alexander Titov
ML Hardware Architect at Waymo
Folsom, California, United States
Summary
👤
Senior🎓
Top SchoolAlexander Titov is an ML Hardware Architect with 16 years of deep hardware architecture experience—12 years on CPU design and 4 on GPUs—specializing in memory systems, prefetching, and instruction fetch. He has driven projects from early pathfinding and simulation to architecture and RTL validation at scale, notably improving L1 prefetch performance by 60% and owning event-based power models that hit 1.5% core power targets. At Intel he pioneered cross-cluster HW/SW co-design techniques, authored five patents, and introduced unit-testing for performance simulators to speed debugging by two orders of magnitude. Now at Waymo, he brings a rare combination of cycle-accurate modeling (C++), scripting/data analysis (Python), and hands-on collaboration with RTL and SW teams to optimize ML hardware stacks. Colleagues rely on him to translate ambiguous research problems into production-ready microarchitectures while mentoring peers and teaching the next generation.
8 years of coding experience
16 years of employment as a software developer
Postgraduate courses (PhD is not completed) Electrical Engineering and Computer Science, Postgraduate courses (PhD is not completed) Electrical Engineering and Computer Science at Moscow Institute of Physics and Technology (State University) (MIPT)
English, RussianGithub contributions (2)
alexander-titov/public
Sep 2017 - Jun 2019
Contributions:22 commits in 1 year 9 months
MIPT-ILab/digital-design
Sep 2017 - Nov 2018
Contributions:3 commits in 1 year 2 months
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