Senior AI-Driven Process Engineer

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

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Manufacturing Services is seeking a Sr. Process Engineer to lead data-driven throughput improvements and AI-optimized processes across existing facilities and new projects.

The role emphasizes reinforcement learning, simulation-based optimization, and digital twin validation to maximize throughput and reduce cycle times. The ideal candidate will bridge manufacturing operations, product engineering, and AI/ML technologies, with a focus on setup optimization, robot coordination, and

Qualifications

• Experience developing functional specifications, design verification plans and test procedures.
• Experience in manufacturing, process, or industrial engineering.
• Knowledge of Machine Learning and LLM fundamentals, transformer architecture, training/inference lifecycles, optimization techniques.
• 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 to identify constraints.
• Execute cycle time reduction projects through AI-optimized process parameters.
• Develop and implement setup optimization strategies to maximize output against 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.

Skills

Functional specs development

Manufacturing/industrial engineering

Machine Learning fundamentals

Analytical skills

Education

Master's in Electrical or Computer Engineering

Tools

Cloud-based technology

Job description

Amazon Manufacturing Services is seeking a Sr. Process Engineer to lead data-driven throughput improvements and AI-optimized processes across existing facilities and new projects.

The role emphasizes reinforcement learning, simulation-based optimization, and digital twin validation to maximize throughput and reduce cycle times. The ideal candidate will bridge manufacturing operations, product engineering, and AI/ML technologies, with a focus on setup optimization, robot coordination, and