Sr. Process Engineer, One MHS , Amazon Manufacturing Services

AI in this role

Lead advanced manufacturing and process optimization using AI, machine learning, simulation, and digital twins.

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ai-agentsmachine-learningreinforcement-learningprocess-optimizationroboticssimulationdigital-twin

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
1. Lead data-driven throughput improvement initiatives across current production lines
2. Conduct bottleneck analysis using simulation and real-world data to identify constraints
3. Execute cycle time reduction projects through AI-optimized process parameters
4. Develop and implement setup optimization strategies to maximize output against existing equipment and labor constraints
5. Apply statistical process control and continuous improvement methodologies enhanced by ML insights
6. Design and optimize automated manufacturing processes including robotic pick-and-place, material handling, and assembly operations
7. Develop control strategies for multi-robot coordination and collaborative automation
8. Implement vision systems, sensors, and data collection infrastructure for AI/ML model training
9. Bridge simulation-to-reality gap by validating digital twin predictions against production performance
10. Build predictive models for throughput optimization, bottleneck identification, and capacity planning
11. Train AI agents to learn optimal manufacturing strategies through simulation before deployment to production
12. 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

How we score this

Sr. Process Engineer, One MHS , Amazon Manufacturing Services at Amazon scores 80 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 4. Building AI systems is the job itself: without AI, the role would not exist.

AI Level 480 to 100
AI Level 360 to 79
AI Level 240 to 59
AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsMachine LearningReinforcement LearningProcess OptimizationRoboticsSimulationDigital TwinPython

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where reinforcement learning was part of your work. What did you do?
Tell me about a project where process optimization was part of your work. What did you do?
Tell me about a project where robotics was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Agents, Machine Learning, Reinforcement Learning, Process Optimization, and Robotics. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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