Sr. Process Engineer, One MHS , Amazon Manufacturing Services
Amazon · Seattle, Washington, USA ·
- Seniority
- Senior
- Category
- Industrial engineering
Amazon Manufacturing Services (AMS) is seeking an experienced Sr. Process Engineer to join our advanced manufacturing team. This role will drive manufacturing excellence through the application of AI/ML technologies, simulation and digital twin development, and advanced process optimization across 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
1. Lead data-driven throughput improvement initiatives across current production lines
2. Conduct bottleneck analysis using simulation and real-world data to identify constraints
3. Execute cycle time reduction projects through AI-optimized process parameters
4. Develop and implement setup optimization strategies to maximize output against existing equipment and labor constraints
5. Apply statistical process control and continuous improvement methodologies enhanced by ML insights
6. Design and optimize automated manufacturing processes including robotic pick-and-place, material handling, and assembly operations
7. Develop control strategies for multi-robot coordination and collaborative automation
8. Implement vision systems, sensors, and data collection infrastructure for AI/ML model training
9. Bridge simulation-to-reality gap by validating digital twin predictions against production performance
10. Build predictive models for throughput optimization, bottleneck identification, and capacity planning
11. Train AI agents to learn optimal manufacturing strategies through simulation before deployment to production
12. Work closely with operations team in NPI and optimization of manufacturing processes, cycle times and improvement of safety.
About the team
Manufacturing Systems Engineering owns the design, build, and continuous improvement of Amazon's advanced manufacturing facilities. We are the engineering team responsible for transforming manufacturing concepts into operational reality, from facility layout and workstation design to process optimization and equipment integration. Our scope spans new facility launches and ongoing expansion and improvement of existing manufacturing operations, supporting advanced manufacturing and assembly of light industrial equipment. The team is in a high-growth phase, with significant opportunity to shape manufacturing design standards and scalable solutions that will define how Amazon builds and operates its manufacturing capabilities.
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
1. Lead data-driven throughput improvement initiatives across current production lines
2. Conduct bottleneck analysis using simulation and real-world data to identify constraints
3. Execute cycle time reduction projects through AI-optimized process parameters
4. Develop and implement setup optimization strategies to maximize output against existing equipment and labor constraints
5. Apply statistical process control and continuous improvement methodologies enhanced by ML insights
6. Design and optimize automated manufacturing processes including robotic pick-and-place, material handling, and assembly operations
7. Develop control strategies for multi-robot coordination and collaborative automation
8. Implement vision systems, sensors, and data collection infrastructure for AI/ML model training
9. Bridge simulation-to-reality gap by validating digital twin predictions against production performance
10. Build predictive models for throughput optimization, bottleneck identification, and capacity planning
11. Train AI agents to learn optimal manufacturing strategies through simulation before deployment to production
12. Work closely with operations team in NPI and optimization of manufacturing processes, cycle times and improvement of safety.
About the team
Manufacturing Systems Engineering owns the design, build, and continuous improvement of Amazon's advanced manufacturing facilities. We are the engineering team responsible for transforming manufacturing concepts into operational reality, from facility layout and workstation design to process optimization and equipment integration. Our scope spans new facility launches and ongoing expansion and improvement of existing manufacturing operations, supporting advanced manufacturing and assembly of light industrial equipment. The team is in a high-growth phase, with significant opportunity to shape manufacturing design standards and scalable solutions that will define how Amazon builds and operates its manufacturing capabilities.