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Description

Amazon Manufacturing Services (AMS) is seeking an experienced Sr. Process Engineer to join our One MHS advanced manufacturing team. This role will drive manufacturing excellence through the application of AI/ML technologies, digital twin development, and advanced process optimization across both existing production facilities and new projects.

The ideal candidate will leverage reinforcement learning, simulation-based optimization, and data-driven process improvement to maximize throughput, reduce cycle times, and optimize manufacturing operations. This role serves as a critical bridge between manufacturing operations, product engineering, and emerging AI/ML technologies.

Key job responsibilities
Lead data-driven throughput improvement initiatives across current production lines

Conduct bottleneck analysis using simulation and real-world data to identify constraints

Execute cycle time reduction projects through AI-optimized process parameters

Develop and implement setup optimization strategies to maximize output against existing equipment and labor constraints

Apply statistical process control and continuous improvement methodologies enhanced by ML insights

Design and optimize automated manufacturing processes including robotic pick-and-place, material handling, and assembly operations

Develop control strategies for multi-robot coordination and collaborative automation

Implement vision systems, sensors, and data collection infrastructure for AI/ML model training

Bridge simulation-to-reality gap by validating digital twin predictions against production performance

Build predictive models for throughput optimization, bottleneck identification, and capacity planning

Train AI agents to learn optimal manufacturing strategies through simulation before deployment to production