Applied AI Engineer, Manufacturing & Operational Execution

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.
• Design production and quality agents that coordinate clear-to-build, work in progress, bottlenecks, testing, excursions, genealogy, containment, root-cause analysis, and corrective action.
• Build historical replays and live evals tied to operating outcomes including forecast quality, schedule attainment, inventory, cost, yield, throughput, and resolution time.
• Continuously evaluate frontier models and system optimization methods.

Qualifications

• A track record of solving hard problems across stacks and domains.
• Comfort with Python and code: you can read it, modify it, debug it, and direct AI to write it well.
• Fluency using AI to learn and ramp on new problems; agentic coding tools, deep research, and frontier models are how you work, not an add-on.
• Hands-on experience building and shipping LLM-based agents or AI tooling that real users depend on (beyond just calling an API - context engineering, tool integration, orchestration, failure analysis).
• An eval-driven mindset: you measure whether AI systems actually work before scaling them.
• High agency and comfort with ambiguity. You can find the problem, not just solve the stated one.
• Worked in complex hardware, manufacturing, supply chain, S&OP, operations research, or enterprise planning, ideally through periods of hyperscale.

Skills

• Experience with ERP/MRP, PLM, MES, and/or QMS.
• Experience with BOMs and ECOs, NPI and ramp, factory test, or quality systems.
• Experience with forecasting, constraint optimization, simulation, or digital twins.

Benefits

• Medical, dental, and vision packages with generous premium coverage.
• $500 per month credit for waiving medical benefits.
• Housing subsidy of $2k per month for those living within walking distance of the office.
• Relocation support for those moving to San Jose (Santana Row).
• Variety of wellness benefits covering fitness, mental health, and more.
• Daily lunch and dinner in our office.
• Unlimited compute budget subject to ROI justification.