Senior Engineering Manager · Google

Mayank Parashar

Building Distributed Systems & AI/ML Infrastructure/Platforms at Scale

Experience across

Google AWS Meta Amazon Microsoft Qualcomm Broadcom

About

I'm a Senior Engineering Manager at Google, where I lead teams building distributed systems and AI/ML infrastructure at the scale of Google's compute stack.

Since 2013, I've built and led engineering organizations spanning the full depth of modern infrastructure — from firmware and embedded systems at Qualcomm and Broadcom, to distributed platforms at Amazon and Microsoft, through AI infrastructure at AWS and Meta, and now at the frontier of large-scale AI compute at Google.

I work at the intersection of deep technical systems and organizational leadership — equally at home in a systems design review as in a strategic planning session. My focus is on the problems that matter most: reliability at scale, AI infrastructure, and building engineering organizations that can execute at the highest level.

Based in the San Francisco Bay Area.

Writing

What I Write About

Engineering Leadership at Scale

How to build, grow, and operate high-performance engineering organizations. The EM — Director — VP — C-suite path, and what actually changes at each level.

AI Infrastructure

The systems beneath the models — accelerators, distributed training, inference at scale. Where the real bottlenecks are and how they get solved at Google and hyperscale.

Operating at Executive Scope

What it means to own outcomes, not just output. Strategy, stakeholder alignment, and the mental models that separate senior ICs from executives.

Building Platforms That Win

Developer experience, API design, ecosystem dynamics. Why some platforms become foundations and others stay features.

The Future of Compute

Where AI infrastructure is heading — compute economics, new architectures, inference efficiency, and the race to deploy intelligence at scale.

Connect

Let's Talk

I'm interested in conversations about AI infrastructure, engineering leadership, and building organizations at scale. Open to advisory, speaking, and select opportunities.