AMHS Intelligent Systems Engineer

At Intel Foundry Technology & Manufacturing, we design, build, and scale the physical and digital infrastructure that powers the future of computing. Automated Material Handling Systems (AMHS) serve as the circulatory system of Intel’s high-volume manufacturing facilities, enabling continuous 24x7 wafer transport and reticle delivery across our Gordon Moore Park at Ronler Acres and Aloha campuses.

We are seeking an experienced Manufacturing Systems Software Development Engineer to take ownership of real-time cleanroom automation architectures, high-availability control software, and data-driven factory throughput. Operating at the convergence of distributed software systems, factory physics, and advanced cleanroom operations, you will directly influence wafer cycle times, tool availability, and operational yield for next-generation process nodes.

• →AMHS Equipment Ownership: Serve as the technical expert responsible for ensuring optimal performance, reliability, and continuous improvement of the AMHS within the manufacturing environment. Maintain system uptime targets based on organizational goals, through proactive monitoring, preventive maintenance execution, and rapid response to Major Impacts (MI), while simultaneously driving innovation through the evaluation and implementation of new technologies.   Flexibility to participate in an operational on-call rotation to support 24x7 manufacturing escalations.
• →Architect & Deliver Factory Automation Software Integration: Design, integrate, and deploy robust end-to-end software solutions for 300mm wafer transport, reticle management, and automated stocker systems across high-volume cleanroom environments
• →Optimize Distributed Control Systems: Debug, tune, and sustain multi-tier automation platforms—spanning low-level firmware, OS configurations, database interfaces, and real-time scheduling algorithms—to maximize tool availability and eliminate dispatch bottlenecks.
• →Lead New Product Introductions (NPI): Partner cross-functionally with IT Platforms, Networks, Middleware, and Module Equipment Engineering to qualify and integrate new automation capabilities with zero operational disruption to high-volume manufacturing line balance.
• →Own Complex Escalations & Root Cause Analysis: Function as the module technical authority for system excursions; drive structured Root Cause Analysis (RCA) and implement robust permanent corrective and preventive actions (CAPA).
• →Champion Fab Data Intelligence: Develop performant SQL queries, Python automation routines, and PowerBI dashboards to monitor fleet health, analyze telemetry logs, and proactively eliminate systemic failures before they manifest as tool downtime.
• →Continuous Improvement: Strive to improve corrective and preventive maintenance overload from maintenance by continually looking for opportunities to improve maintenance through innovative ideas and enhancements. All improvements need to be driven through the DPO and DPG to ensure all sites benefit through these CIPs.
• →Project Management: Complete equipment qualification in accordance with the appropriate qual specifications, contribute to global knowledge revisions based on ongoing learning and lessons learned during system qualifications. Willingness to work in a cleanroom environment (including walking long fab distances and working at heights around automated track superstructures).
• →Execute Global Standards: Collaborate with Intel’s worldwide AMHS engineering network to maintain alignment with Copy Exactly! (CE!) protocols and industry SEMI standards.

• https://www.youtube.com/watch?v=NvBB2T8NHzY

The Minimum qualifications are required to be initially considered for this position. Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork/classes/research. The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

• Bachelor’s degree in Mechanical Engineering, Electrical Engineering/ECE, Aerospace Engineering, Systems Engineering, Computer Science, or related STEM discipline with 3+ years of relevant industry experience - OR - Master’s degree in the above fields with 2+ years of relevant industry experience.
• 2+ years of hands-on experience in one of the following: troubleshooting complex robotics; equipment; distributed systems; industrial controls; or factory automation platforms.

• 2+ years of experience within semiconductor wafer fabrication facilities (300mm fab operations preferred).
• Direct engineering experience with automated material handling OEM systems.
• Proficiency in SQL database query development and scripting languages (Python, PowerShell, or VB script) for log analytics and automated monitoring.
• Knowledge of SEMI communication standards (SEMI E84, E87, E157, E40) and Manufacturing Execution Systems (MES) integration.
• Applied knowledge of factory physics, queueing theory, and Theory of Constraints (TOC) to enhance cycle time and wafer velocity.
• Experience with model-based structured problem-solving methodologies (FMEA, Fault Tree Analysis, or 8D).
• Experience with CAD/CAM engineering tools (AutoCAD, SolidWorks, or equivalent) or automated layout modeling.
• Lean Six Sigma certification (Green Belt or Black Belt).

Join a team where innovation meets operational excellence. We invite you to bring your expertise and passion for innovation to Intel, where your contributions will shape the future of manufacturing technology.

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