Applied AI Engineer, Manufacturing & Operational Execution
Core
Build and operate agentic AI systems to automate complex manufacturing, supply chain, and production planning decisions, connecting signal to execution for hardware ramp.
Role type
Senior Applied AI Engineer (Manufacturing & Operations)
Builds
Agentic systems for S&OP, material planning, build readiness, manufacturing partner execution, quality, logistics, and customer deployments.
Domain
Hardware manufacturing, supply chain, production planning, operations research
Deliverable
production ML models | product features
Required skills
Python, LLM-based agent development, context engineering, tool integration, orchestration, failure analysis, eval-driven system design, ambiguity navigation, cross-functional collaboration
Preferred skills
ERP/MRP/PLM/MES/QMS systems, BOMs/ECOs/NPI/ramp, constraint optimization, simulation, digital twins
Technologies
Python, frontier models, agentic coding tools
Responsibilities
Build operational models connecting demand, product configurations, BOMs, supply, inventory, cost, and capacity; Build agents that craft executable plans considering demand, supply, capacity, inventory, capital, schedules, and risk; Propagate design changes through material exposure, sourcing, cost, factory readiness, and production schedules; Build production and quality agents coordinating clear-to-build, WIP, bottlenecks, testing, and root-cause analysis; Design historical replays and live evals tied to operating outcomes; Continuously evaluate frontier models and system optimization methods.
Seniority
Senior, hands-on IC