Teams at Edgescale AI

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.

Define scalable deployment patterns, playbooks, and success KPIs to maximize customer ROI and time-to-value. Serve as a trusted advisor to customers and partners, translate deployment learnings into repeatable delivery systems, produce field-grounded reference materials using AI, and eliminate delivery friction. Collaborate with engineering, product, FDEs, and commercial teams while traveling 25-50% to drive adoption, expansion, and measurable deployment outcomes.

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.