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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 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 Preferred Qualifications: - 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 137,300.00 - 185,700.00 USD annually
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