87: Everything is Power: Battery Life Engineering for AI Glasses
About this episode
The episode discusses battery life engineering challenges for AI glasses and the implications for developers.
What changes for you as a developer when the device moves from your pocket to your face? The battery shrinks by an order of magnitude, the thermal budget is whatever won't make your nose uncomfortable, and your mental model of "one process, one device" goes out the window. Rey and Dmitrii talk us through their custom power monitors, how they've extended Perfetto to give a coherent trace across a multi-device system, why robotic arms make surprisingly good QA engineers, and what it takes to catch the kind of regression that quietly costs you thirty minutes of call time. All of this and more is discussed in this episode. Got feedback? Send it to us on Threads ( https://threads.net/@metatechpod ), Instagram ( https://instagram.com/metatechpod ) and don't forget to follow our host Pascal ( https://mastodon.social/@passy , https://threads.net/@passy_ ). Fancy working with us? Check out https://www.metacareers.com/ . Links Migrating Data Ingestion Systems at Meta Scale: https://engineering.fb.com/2026/05/12/data-infrastructure/migrating-data-ingestion-systems-at-meta-scale/ Timestamps Intro 0:05 Introduction and Setup 1:51 Battery Life Optimization in AI Glasses 1:57 Challenges in…
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