Amazon.com Services LLC
Manufacturing
Sr.ProcessEngineer,OneMHS
Neural analysis suggests this role is
optimal for Senior candidates.
“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.
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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