AmazonManufacturing Engineer, Trainium Manufacturing, Quality and Reliability
Amazon is hiring a Manufacturing Engineer, Trainium Manufacturing, Quality and Reliability in Florence, United States. It pays $136k-$184k a year and Level rates it ; you can apply on Level.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Trainium, Inferentia and manufacturing engineering.
- Level files it as a mid-level role.
- Level lists 22,000+ other open roles at Amazon.
- The role was posted in the last few days.
AI in this role
Drive manufacturing process improvements and test validation for cloud-scale machine learning server infrastructure and accelerators.
The Trainium Manufacturing, Quality and Reliability Team at Annapurna Labs is focused on Machine Learning products that design cutting edge AI platforms for the world’s largest Cloud Services provider. We are seeking a talented and motivated Manufacturing Engineer with a proven track record of implementing best in class test techniques and processes within a complex supply chain. As a member of the Cloud-Scale Machine Learning Acceleration team, you will be the interface between the system engineering team and the ODM and CM partners.
As a Manufacturing Engineer you will engage with an experienced cross-disciplinary staff to conceive and design infrastructure technologies. You will work closely with an internal inter-disciplinary team, and outside partners to drive key aspects of product definition, execution and test in manufacturing. A successful candidate will be responsive, flexible and able to succeed within an open collaborative peer environment. You will:
- Be responsible for the test validation of future technologies.
- Drive manufacturing process improvements to address reliability issues and concerns.
- Qualify manufacturing lines and mechanisms for mass production
- Lead identifying and validating product/component risks and work with design teams to mitigate them and define the test methodology and test coverage to assure product quality
- Provide technical leadership and mentor engineers.
- Working with multiple vendors and ODMs to standardize component manufacturing and reliability expectations.
The successful candidate will be capable of making wide-ranging business decisions on behalf of the organization and willing to “roll up sleeves and do what needs to get done” to consistently deliver results. We’re changing an industry, and we want individuals who are ready for this challenge.
Key job responsibilities
- Manage manufacturing technical operations support at the factory
- Provide On-Site support to new product launches as well as sustaining issues
- Design in quality and manufacturability on new designs of servers and racks
- Root cause customer impacting issues and drive resolution
- Work with system engineering teams to identify and escalate manufacturing challenges by enforcing DFM, DFA and DFS principles
- Evaluate, investigate and introduce new manufacturing technology and methodology to enhance product quality and production efficiency at ODM and CM
- Manage product lifecycle changes, lead product quality and reliability improvement projects, and drive technical root cause for supplier defects
- Implement and optimize manufacturing 1st pass yields and efficiency from prototype through product ramp
LOCATION: This role is open to sit near Florence, KY, or Cincinnati, OH, and will spend most of their time at one of the Florence, KY facilities.
About the team
Annapurna Labs is a wholly owned subsidiary of AWS, focused on developing custom silicon and servers including the Nitro(K2), Graviton, Inferentia, and Trainium families of processors.
Machine Learning Annapurna functions as a vertically integrated team including software, firmware, hardware, and silicon design in a single organization.
We are the Trainium Servers and Systems organization under MLA focused on Hardware Development, Software Development, Fleet Ops Systems, and Manufacturing, Quality, and Reliability.
This position is in the Manufacturing, Quality and Reliability team.
Basic qualifications
- Master's degree in industrial or manufacturing engineering, or 2+ years of industrial engineer, operations engineer, manufacturing engineer, or project engineer in a manufacturing environment experience
- 2+ years of Manufacturing Engineering work experience with server platforms or on high-tech hardware
- 2+ years working with manufacturing suppliers to improve incoming quality of systems
Preferred qualifications
- Experience working with interdisciplinary teams to execute product design from concept to production
- Experience in project management, or experience leading technical teams through daily operations and maintenance evolutions
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 - 136,000.00 - 184,000.00 USD annually
How we rate this
Manufacturing Engineer, Trainium Manufacturing, Quality and Reliability at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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. Open the description and count.
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 engineering was part of your work. What did you do?
- Tell me about a project where test validation 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 quality assurance was part of your work. What did you do?
- Walk me through how you've used Trainium in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Manufacturing Engineering, Test Validation, Supply Chain, Quality Assurance, and Trainium. 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.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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