Teams at Edgescale AI

Own fleet-scale reliability, upgradeability, and operational excellence for an edge platform. Design and operate automated, secure lifecycle systems, observability, and incident response. Lead cross-domain, high-severity incident ownership, set production standards (SLOs/SLIs, change management), mentor engineers, and apply AI to accelerate diagnostics and operational workflows.

Design, validate, and ship production hardware platforms for edge AI systems. Lead silicon and component selection, system integration, security (secure boot, roots of trust), validation, certification, procurement, and supplier management to optimize reliability, performance, manufacturability, and total cost across fleet deployments.

Embed with customers to design, deploy, and operate edge AI solutions end-to-end. Integrate hardware, networking, sensors, data flows, and inference; diagnose cross-stack issues; build repeatable deployment playbooks; travel 25-50% to deliver measurable customer outcomes and feed product improvements back to engineering.