Sr. Process Engineer, One MHS , Amazon Manufacturing Services

Amazon • Seattle, WA

9d

About The Position

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.

Requirements

• Bachelor's degree in Industrial Engineering, Mechanical Engineering, or other STEM field
• 5+ years of manufacturing, process, industrial engineering experience
• Experience with process improvement techniques such as Kaizen, Lean Manufacturing or Six Sigma
• Experience using one or more of the following CAD technologies: AutoCAD, Rhino, Revit, SolidWorks, CREO, BIM360, SketchUp or KeyShot
• Strong understanding of manufacturing processes including machining, welding, forming, and assembly operations
• Familiarity with machine learning concepts and reinforcement learning applications in manufacturing
• Strong analytical skills with experience in bottleneck analysis, cycle time reduction, and capacity planning

Nice To Haves

• Master's degree in electrical engineering, computer engineering, or equivalent
• Experience working with interdisciplinary teams to execute product design from concept to production
• Experience with the project management of technical projects
• Experience with cloud-based manufacturing analytics and IoT platforms

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

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level