AI-Driven Manufacturing Process Engineer

Socket.dev; Seattle (WA); On-site; USD 137,000 - 186,000; Full time

Benefits offered by this job

RSUs

Sign-on payments

Health insurance

401(k) matching

Paid time off

Job summary

Amazon Manufacturing Services (AMS) is seeking an experienced Sr. Process Engineer to drive manufacturing excellence by applying AI/ML, simulation, and digital twin development across existing facilities and new projects.

The role bridges manufacturing operations, product engineering, and AI/ML technologies, leveraging reinforcement learning and data-driven improvements to boost throughput and reduce cycle times.

Qualifications

• Experience in developing functional specifications, design verification plans and functional test procedures.
• Experience in manufacturing, process, or industrial engineering.
• Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and 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 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
• Work closely with operations team in NPI and optimization of manufacturing processes, cycle times and improvement of safety.

Skills

Machine Learning

Data analysis

Process engineering

Industrial engineering

Communication skills

Education

Master's degree in electrical engineering

Job description

Amazon Manufacturing Services (AMS) is seeking an experienced Sr. Process Engineer to drive manufacturing excellence by applying AI/ML, simulation, and digital twin development across existing facilities and new projects.

The role bridges manufacturing operations, product engineering, and AI/ML technologies, leveraging reinforcement learning and data-driven improvements to boost throughput and reduce cycle times.