Amazon.com Services LLC

Manufacturing

Sr.ProcessEngineer,OneMHS

$137–186k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr. Process Engineer, One MHS at Amazon.com Services LLC. Skills: Process optimization, AI/ML, Digital twin, Reinforcement learning. Lead data-driven throughput improvement initiatives. Conduct bottleneck analysis using simulation and real-world data”

What You'll Achieve.

Maximize throughput; Reduce cycle times; Optimize manufacturing operations

Industry & Context.

Manufacturing
Problems you'll solve

Bottleneck analysis; Cycle time reduction; Capacity planning; Process optimization

What They're Looking For.

Must Have

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, Experience using one or more of the following CAD technologies: AutoCAD, Rhino, Revit, SolidWorks, CREO, BIM360, SketchUp or KeyShot, Understanding of manufacturing processes including machining, welding, forming, and assembly operations, Familiarity with machine learning concepts and reinforcement learning applications in manufacturing, Analytical skills with experience in bottleneck analysis, cycle time reduction, and capacity planning

Nice to Have

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

What You'll Do.

Lead data-driven throughput improvement initiatives

Conduct bottleneck analysis using simulation and real-world data

Execute cycle time reduction projects through AI-optimized process

Develop and implement setup optimization strategies

Apply statistical process control and continuous improvement methodologies

Design and optimize automated manufacturing processes

Develop control strategies for multi-robot coordination

Implement vision systems

and data collection infrastructure

Bridge simulation-to-reality gap by validating digital twin predictions

Build predictive models for throughput optimization

Train AI agents to learn optimal manufacturing strategies

How You'll Work.

Team & Collaboration

Manufacturing operations; Product engineering; Interdisciplinary teams

Process & Methodology

Project management

Full Job 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 Basic Qualifications: - Bachelor's degree in Industrial Engineering, Mechanical Engineering, or other STEM field - 5+ years of manufacturing, process, industrial engineering experience - Experience wi

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