Sr. Process Engineer, One MHS , Amazon Manufacturing Services

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 join our advanced manufacturing team. This role will drive manufacturing excellence through the application of AI/ML technologies, simulation and digital twin development, and advanced process optimization across 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


• Work closely with operations team in NPI and optimization of manufacturing processes, cycle times and improvement of safety.

About the team

Manufacturing Systems Engineering owns the design, build, and continuous improvement of Amazon's advanced manufacturing facilities. We are the engineering team responsible for transforming manufacturing concepts into operational reality, from facility layout and workstation design to process optimization and equipment integration. Our scope spans new facility launches and ongoing expansion and improvement of existing manufacturing operations, supporting advanced manufacturing and assembly of light industrial equipment. The team is in a high-growth phase, with significant opportunity to shape manufacturing design standards and scalable solutions that will define how Amazon builds and operates its manufacturing capabilities.

Basic 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


• Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in technical support

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 implementing a cloud-based technology solution

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