Senior AI-Driven Process Engineer: Throughput & Digital Twin

Amazon.com Services LLC; Seattle (WA); On-site; USD 137,000 - 186,000; Full time

Job summary

Amazon Manufacturing Services (AMS) is hiring a Sr. Process Engineer to drive manufacturing excellence using AI/ML, simulation and digital twins. You will optimize throughput, reduce cycle times and implement advanced process optimization across facilities and new projects.

The role bridges manufacturing operations, product engineering and emerging AI/ML tech, with emphasis on reinforcement learning, data-driven improvement and scalable automation solutions in Seattle-area facilities.

Qualifications

• Experience in developing functional specifications, design verification plans andFi functional test procedures.
• Experience in manufacturing, process, or industrial engineering.
• Knowledge of Machine Learning and LLM fundamentals, transformers, training/inference lifecycles.
• Strong analytical skills, attention to detail, and effective communication abilities.

Responsibilities

• Lead data-driven throughput improvement initiatives across current production lines.
• Conduct bottleneck analysis using simulation and real-world data.
• Execute cycle time reduction projects through AI-optimized parameters.
• Develop control strategies for multi-robot coordination and automation.
• Bridge simulation-to-reality by validating digital twins with production data.

Skills

Functional specs

Design verification

Analytical skills

Effective communication

Process engineering

Education

Master's in electrical engineering or computer engineering

Tools

Cloud-based technology

Job description

Amazon Manufacturing Services (AMS) is hiring a Sr. Process Engineer to drive manufacturing excellence using AI/ML, simulation and digital twins. You will optimize throughput, reduce cycle times and implement advanced process optimization across facilities and new projects.

The role bridges manufacturing operations, product engineering and emerging AI/ML tech, with emphasis on reinforcement learning, data-driven improvement and scalable automation solutions in Seattle-area facilities.