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Sr. Process Engineer, Amazon Manufacturing Services

Amazon is hiring a Sr. Process Engineer, Amazon Manufacturing Services in Seattle, United States. It pays $137k-$186k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Amazon has 20,000+ other open roles on Level.
  • Posted in the last few days.

AI in this role

Amazon Manufacturing Services (AMS) is seeking an experienced Sr. Process Engineer to join our advanced manufacturing team. In this role you will serve as a Process Engineering program lead, responsible for preparing AMS factories to build, from space planning and line layout through equipment and tool specification, work instruction development, and the quality and safety controls that keep production running. You will own process readiness for your program end to end, partnering across operations, product engineering, supply chain, quality, and EHS to stand up and continuously improve manufacturing operations at scale.

As a senior engineer, you will lead a program rather than a single workstation, typically guiding a other process engineers executing against your program's priorities. You will drive task prioritization, lead core team meetings, own metric report-outs to leadership, and resolve cross-team problems and dependencies to keep launches and ramps on track. The ideal candidate combines hands-on manufacturing process depth with the program leadership and influence needed to align multiple teams toward quality, throughput, cost, and safety targets.

Key job responsibilities
**Factory Preparation & Layout** — Lead space planning, line layouts, workstation design, and material flow for new lines, launches, and capacity expansions, balancing throughput, ergonomics, and footprint.

**Equipment & Tool Specification** — Define requirements and specifications for manufacturing equipment, tooling, and fixtures; support evaluation, selection, commissioning, and qualification at AMS sites.

**Work Instruction Development (MES)** — Author and maintain manufacturing work instructions, routings, and process documentation within the MES, ensuring operators have clear, controlled, and version-managed guidance.

**Quality Controls & Poka-Yoke** — Design and implement poka-yoke (error-proofing), process controls, inspection methods, and quality plans to ensure consistent, defect-free output across the line.

**EHS Reviews & Walkthroughs** — Perform EHS reviews, risk assessments, and floor walkthroughs; drive corrective actions and design safety into processes, equipment, and layouts from the start.

**Process Engineering Program Leadership** — Lead a manufacturing process program, setting priorities and directing the work of other process engineers dotted-line to the program; lead core team meetings and manage dependencies across functions.

**Metrics & Report-Outs** — Define, track, and report program metrics (throughput, cycle time, yield, safety, readiness) to leadership, and use data to drive decisions and continuous improvement.

**Cross-Team Problem Solving** — Serve as the integration point across operations, product engineering, supply chain, quality, and EHS, resolving manufacturing challenges and aligning teams on process requirements.

**Process Optimization & Continuous Improvement** — Analyze production lines to identify bottlenecks, reduce cycle time, optimize setups, and increase capacity using lean manufacturing and Six Sigma methods.

**New Product & Site Introduction** — Support NPI and new site/line launches, including production readiness assessments, line balancing, and ramp from prototype through volume production.

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 material handling and light industrial equipment for Amazon's fulfillment network. The team is in a high-growth phase, with significant opportunity to help shape manufacturing design standards and scalable solutions that will define how Amazon builds and operates its manufacturing capabilities.

Basic qualifications

- Bachelor's degree in industrial or manufacturing engineering, or 5+ years of industrial engineer, operations engineer, manufacturing engineer, or project engineer in a manufacturing environment experience
- 5+ years of industrial engineer, operations engineer, manufacturing engineer, or project engineer in a manufacturing environment experience
- Experience working with equipment suppliers, laboratories and manufacturing plants
- Experience leading manufacturing process programs or acting as a process engineering lead across multiple products, lines, or sites
- Experience preparing factories to build, including space planning, line layout, and workstation design
- Experience authoring work instructions and process documentation in a Manufacturing Execution System (MES)
- Experience implementing quality controls and error-proofing (poka-yoke) and conducting EHS reviews or risk assessments

Preferred qualifications

- Experience with Six Sigma, lean manufacturing, or experience with Six Sigma tools and Lean techniques
- Experience as a process engineering program lead directing the work of other engineers (e.g. L4-L5 ICs dotted-line to the program) and leading core team meetings, prioritization, and metric report-outs to leadership
- Experience launching new manufacturing lines or sites from NPI through volume production, including production readiness and line balancing
- Experience designing line layouts and material flow using factory simulation or layout tools
- Working knowledge of PLM systems (e.g. Siemens Teamcenter or PTC Windchill) for managing product data and engineering change
- Experience driving cross-functional problem solving across operations, product engineering, supply chain, quality, and EHS

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 rate this

Sr. Process Engineer, Amazon Manufacturing Services at Amazon rates 39 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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