Teams at Edgescale AI

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.

Build and operate production private AI platform capabilities (agentic/multi-agent systems, orchestration, auto fine-tuning, runtime/model optimization). Implement evaluation, monitoring, safety/rollback controls, developer-facing APIs, and tooling. Partner with data and infra teams to ensure reliable, performant AI inference in constrained edge environments.

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.