About the Senior Pcba Manufacturing Engineer Trainium Quality role
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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. 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 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: \* Work with the Design Engineering team to provide PCB/PCBA DFM feedback. Identify and escalate PCBA manufacturing challenges early in product development. \* Identify opportunities for risk reduction and simplification of PCBA manufacturing processes. Deliver manufacturing processes capabilities including equipment capability, quality controls, materials characterization, and standardized rework practices. \* Investigate and develop new manufacturing technology and methodologies to enhance PCBA quality, reliability, throughput, and cost. \* Drive the PCBA Manufacturing Qualification process at the CM. Define manufacturing readiness requirements and lead key milestone reviews to ensure all production readiness deliverables are complete. \* 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 \* Drive closure of all operational issues during pre-production builds. Work within Operations, Supply Chain, R&D, and Reliability Engineering to implement and optimize manufacturing processes and improve yields for production ramp. \* Investigate failures/defects in production, test, and integration. Identify and mitigate underlying root causes to prevent reoccurrence as part of continuous improvement efforts. \* Actively monitor the success of products and processes through production ramp. Provide regular status reports of PCBAs progress from design to production. \* 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 th…
Salary estimate
$159,200 – $215,300/yr
Provided by the employer.
Skills for this role
AWSMachine LearningLeadership
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