AmazonSr. Manufacturing Engineer - Process Quality, Hardware Engineering - Manufacturing
Amazon is hiring a Sr. Manufacturing Engineer - Process Quality, Hardware Engineering - Manufacturing in Florence, United States. It pays $159k-$215k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- The posting mentions Pfmea, CAD and manufacturing operations among its tools and skills.
- Level classes it as a senior role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Lead manufacturing process quality, scale production, and resolve hardware engineering issues across global supply chains.
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Key job responsibilities
Scale up manufacturing on new products across a global network.
Lead and oversee quality control processes across Contract Manufacturers (CM), Original Design Manufacturers (ODM), and component vendors
Deliver hands-on technical support during new product introductions and launches
Investigate and resolve customer escalations through comprehensive root cause analysis
Support global operations through regular domestic and international travel (25-50% of time)
Basic qualifications
- 6+ years of high volume manufacturing operations or sourcing environments experience
- Bachelor's or Master’s degree in Mechanical, Industrial, Manufacturing Engineering or similar related field or equivalent experience.
- 2+ years of Manufacturing Engineering work experience with server platforms or on high-tech hardware
- 5+ years of product development experience
Preferred qualifications
- Experience working with interdisciplinary teams to execute product design from concept to production
- Experience with the project management of technical projects
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, KY, Florence - 159,200.00 - 215,300.00 USD annually
USA, TX, Austin - 159,200.00 - 215,300.00 USD annually
How we rate this
Sr. Manufacturing Engineer - Process Quality, Hardware Engineering - Manufacturing 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.
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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where manufacturing operations was part of your work. What did you do?
- Tell me about a project where quality control was part of your work. What did you do?
- Tell me about a project where root cause analysis was part of your work. What did you do?
- Tell me about a project where process engineering was part of your work. What did you do?
- Walk me through how you've used Pfmea in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Manufacturing Operations, Quality Control, Root Cause Analysis, Process Engineering, and Pfmea. 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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