Senior Industrialization Engineer, Data Center Engineering

Amazon is hiring a Senior Industrialization Engineer, Data Center Engineering in Atlanta, United States. It pays $137k-$185k 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.
Tools and skills the posting cites include manufacturing process, supply chain and dfm.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Lead manufacturing and industrialization activities for AWS data center hardware from prototype to high-volume production.

manufacturing-processsupply-chaindfmindustrial-engineering

Amazon Web Services is seeking a Senior Industrialization Engineer to lead manufacturing and industrialization activities for New Product Introductions (NPI) from prototype to high-volume production. You will own the translation of product design intent into scalable manufacturing workflows, consult on Design for Manufacturability (DFM), and partner with internal partners and external suppliers to achieve volume output based on business demands.

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

As a Senior Industrialization Engineer, you work within the strategy and standards set by the team’s Principal Engineers, you develop the detailed manufacturing process, stand up production lines, and lead ramp-up activities at large-scale contract manufacturers (CMs). You are measured on getting real product out the door: lines that hit their takt time, OEE, and yield targets, and a repeatable process that scales across sites.

You will spend meaningful time on the factory floor diagnosing bottlenecks, balancing lines, and partnering directly with CM engineering teams to resolve the issues that stand between a design and dependable high-volume output.

Amazon has a global presence. Travel to our data centers (located throughout AMER region), contractor manufacturer visits, and yearly team off-sites are required. Domestic travel is ramp-driven: 30–50% during active production ramps, tapering between platform launches. International support will be part of the job and some international travel may be necessary.

Key job responsibilities
- Manufacturing Process Development: Develop and document the detailed manufacturing process, workstation definition, work content, line balancing, and takt time, translating the team’s manufacturing strategy into executable production plans.
- Capacity & Scale Planning: Build the capacity models and scaling approach for each product, deciding how the process ramps from low-volume builds to serialized production across sites, then validate the plan against real line performance.
- Production Line Build & Ramp: Stand up production lines at contract manufacturers and lead ramp-up from low-volume builds to serialized production, maintaining presence on the factory floor until OEE targets are met.
- Tooling, Fixturing & Automation: Specify and validate tooling, fixturing, and automation/robotics appropriate to the volume and product, and confirm they perform on the line.
- Process Analysis & Optimization: Use simulation, process flow analysis, and ergonomics to identify bottlenecks and drive yield improvement, cost reduction, and throughput gains.
- CM Execution & Qualification: Partner day-to-day with CM engineering teams to qualify processes against defined standards and ensure consistent, repeatable output across lines and sites.
- Design-for-Manufacturability Feedback: Work with the product design team to flag manufacturability risks early and feed line-level constraints back into design before high-volume commitment.
- Issue Resolution: Lead the resolution of production issues on the floor, partnering with Quality and Reliability to separate design defects from process/line inefficiencies and restore stability.

About the team
About AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud
platform. We pioneered cloud computing and never stopped innovating — that’s why customers
from the most successful startups to Global 500 companies trust our robust suite of products and
services to power their businesses.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster
a culture of inclusion that empower us to celebrate our differences. Ongoing events and learning
experiences, including our Conversations on Race and Ethnicity (CORE) and diversity conferences, inspire us to never stop embracing our uniqueness.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of
sacrifices at home, which is why flexible work hours and arrangements are part of our culture.
When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the
cloud.

Mentorship & Career Growth
We have a career path for you no matter what stage you’re in when you start here. We’re continuously raising our performance bar as we strive to become Earth’s Best Employer.
That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing
resources here to help you develop into a better-rounded professional.

Basic qualifications

- Bachelor's degree in Industrial Engineering, Mechanical Engineering, or other STEM field
- 6+ years of manufacturing or manufacturing engineering experience
- Experience with process improvement techniques such as Kaizen, Lean Manufacturing or Six Sigma
- 5+ years of experience managing large-scale contract manufacturer (CM) relationships
- Experience defining manufacturing procedures, standards, or process packages

Preferred qualifications

- Experience directly related to the design or construction of data centers or critical infrastructure or large-scale mechanical and electrical plants
- Experience with DFx (Design for cost, test, manufacturing)
- Experience in high-volume manufacturing operations or sourcing environments
- Experience directly related to the design or construction of data centers

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, GA, Atlanta - 136,600.00 - 184,800.00 USD annually
USA, TX, Austin - 136,600.00 - 184,800.00 USD annually
USA, VA, Herndon - 136,600.00 - 184,800.00 USD annually
USA, WA, Seattle - 136,600.00 - 184,800.00 USD annually

How we rate this

Senior Industrialization Engineer, Data Center Engineering at Amazon rates 0 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.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ 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.

Key facts

Senior Industrialization Engineer, Data Center Engineering is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $137k-$185k a year.
The role is based in US, GA, Atlanta.
The job was posted on October 21, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Manufacturing ProcessSupply ChainDfmIndustrial Engineering

Questions you could be asked

Tell me about a project where manufacturing process was part of your work. What did you do?
Tell me about a project where supply chain was part of your work. What did you do?
Tell me about a project where dfm was part of your work. What did you do?
Tell me about a project where industrial engineering was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Manufacturing Process, Supply Chain, Dfm, and Industrial Engineering. 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.

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