Applied AI Engineer, Manufacturing & Operational Execution - etched

Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history.

Job Summary

We are using AI to build and ship AI hardware. Etched’s production ramp requires thousands of interdependent, chained decisions that involve product configurations, material availability, production capacity, capital commitments, complex logistics, field deployments, customer commitments, and more.

You will embed with Platform, Production, Supply Chain, Finance, and manufacturing partners to build the agentic systems that make those decisions faster and better.

You will own the development of agentic systems that loop signal to execution: understanding what Etched needs to manufacture and deliver; modelling production plans and scenarios; triaging changes and the unexpected; capturing decisions in the systems we execute through - and designing agents that augment and scale our teams.

Success is measured by what we deliver, the schedules we attain, our ramp speed, and time from signal to action. Production is the product.

Etched offers a unique environment to tackle real supply-chain challenges and production decisions with frontier model capabilities: we have our own in-office cluster to run agentic systems on, all teams are in-person, and every cluster we deploy offers an opportunity to raise the bar across production.

You will build the frontier systems that help us coordinate execution and learn from every build.

Key responsibilities

• Build, deploy, and operate AI systems that run S&OP, material planning, build readiness, manufacturing partner execution, quality, logistics, and customer deployments.
• Embed with Platform, Production, Supply Chain, Finance, and other teams to identify high-leverage decisions, turn them into executable workflows augmented by agentic systems, and own outcomes.
• Build operational models connecting demand, product configurations, revisions, BOMs, supply, inventory, cost, capacity, builds, tests, quality, and shipments.
• Build agents that craft executable plans considering demand, supply, capacity, inventory, capital, schedules, and risk - and keep those plans current as constraints change.
• Propagate design changes through material exposure, sourcing, cost, factory and test readiness, production schedules, and delivery commitments.
• Build production and quality agents that coordinate clear-to-build, work in progress, bottlenecks, testing, excursions, genealogy, containment, root-cause analysis, and corrective action.