Leading the manufacturing of AI Servers and Systems based on Trainium chips across cross-geographical ODMs and CMs. As part of the Manufacturing, Quality and Reliability Team in Annapurna Labs focused on Machine Learning products that designs cutting AI platforms for the world’s largest Cloud Services provider.
Within Annapurna Labs team is building the next generation cloud server infrastructure. Our success depends on delivering world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. Our servers include accelerators such as Trainium and Inferentia which are machine learning products designed to deliver high performance at low cost.
The Trainium Manufacturing, Quality and Reliability Team is part of Annapurna Labs focused on Machine Learning products that designs cutting 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
- 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
- Develop or adapt manufacturing process at the ODM and CM, including defining fixture requirements, critical assembly requirements, test methodology, signal integrity, power and heat management requirement
- Drive all factory-related operational issues related to assembly processes during pre-production builds; ensure effective closure to enable operational success of the new product introduction cycle, and put products into mass production
- 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
- Work with engineering teams to clearly represent process and reviews to enable smooth New Product Introduction and changes
- Support cost reduction and sustaining activities
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
- Bachelor's degree in mechanical engineering or equivalent
- 2+ years of high volume manufacturing operations or sourcing environments experience
- 2+ years of Manufacturing Engineering work experience with server platforms or on high-tech hardware
- 3+ 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, TX, Austin - 136,000.00 - 184,000.00 USD annually