Description
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 AWS Annapurna Labs focused on Machine Learning products that designs cutting AI platforms for the world's largest Cloud Services provider.
AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
Within AWS, 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 AWS Trainium and AWS Inferentia which are machine learning products designed to deliver high performance at low cost.
The Trainium Manufacturing, Quality and Reliability Team is part of AWS 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 Senior 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 proto@type 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
BS in mechanical engineering or a related technical field
4+ years of experience in a related engineering field
Experience in printed circuit boards (PCB) assembly, including solder paste, chip mounting, reflow soldering, advanced heat sink mounting.
Experience in PCB inspection and metrology including optical, Lasers, X-ray, 3D
Experience in automatic assembly process
Experience with signal integrity and power integrity measurement techniques,
Experience in process characterization and validation using statistical tools and Design of Experiments.
Experience with design for manufacturability, design for automation, and creating process documentation from scratch
Experience with failure analysis techniques to evaluate production, supplier and field failures to drive root cause analysis and resolution.
Experience in integration of production testing infrastructure and deployment of production test suites
Experience working with International ODM and CM Partners
Preferred Qualifications
Experience with distributed systems at scale
Ability to work independently and ensure timely and accurate communication between AWS, Annapurna Labs and our JDM/OEM partners
Experience in liquid cooling designs
Experience in high power designs
Good understanding of manufacturing strategy and DFMA best practices
Experienced with CAD software
Experience with Statistical Analysis Software
Mechanically inclined, strong problem-solving skills, hands-on individual
Excellent oral and written communication skills; capable of interfacing at all levels of a business from equipment operators to platform VP
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.
