Sr PCBA Manufacturing Engineer, Trainium Manufacturing, Quality and Reliability

Amazon

Austin, TX

JOB DETAILS
SALARY
$183,000–$247,600 Per Year
SKILLS
8D, Agile PDM, Amazon Web Services (AWS), Artificial Intelligence (AI), Change Management, Cloud Computing, Computer Servers, Continuous Improvement, Cost Control, DFT (Design for Test), Design For Excellence (DFX), Design Services, ERP (Enterprise Resource Planning), Electrical Engineering, Experiment Design, Industrial Engineering, Integration Testing, Machine Learning, Manufacturing, Manufacturing Design, Manufacturing Engineering, Manufacturing Execution Systems (MES), Manufacturing Methods, Manufacturing Requirements, Manufacturing/Industrial Processes, Mentoring, Original Design Manufacturer (ODM), Power Management, Printed Circuit Board (PCB), Printed Circuit Board Assembly (PCBA), Printing, Process Capability, Process Engineering, Process Improvement, Product Design, Product Development, Product Lifecycle Management, Product Testing, Product/Service Launch, Production Volume, Productivity Management, Progress Reports, Prototyping, Quality Assurance Methodology, Radiography, Reliability Engineering, Requirements Management, Research & Development (R&D), Risk Analysis, Risk Management, Root Cause Analysis, SAP ECC (fka SAP R/3 and SAP ERP), Signal Integrity, Six Sigma, Status Reports, Supply Chain, Supply Chain Operations, Surface Mount Technology, Systems Engineering, Team Player, Teamcenter, Technical Leadership, Technical/Engineering Design, Test Design, Test Requirements, Testability, Testing, United States Department of Energy (DOE)
LOCATION
Austin, TX
POSTED
Today

Sr PCBA Manufacturing Engineer, Trainium Manufacturing, Quality and ReliabilityLeading 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 design cutting‑edge 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 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 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.Key ResponsibilitiesWork with the design engineering team to provide PCB/PCBA DFM feedback and identify manufacturing challenges early in product development.Identify opportunities for risk reduction and simplification of PCBA manufacturing processes.Deliver manufacturing process 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.Lead identification and validation of product/component risks and work with design teams to mitigate them; define 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 PCBA progress from design to production.Provide technical leadership and mentor engineers.Coordinate with multiple vendors and ODMs to standardize component manufacturing and reliability expectations.Work with system engineering teams to identify and elevate 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.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.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.Basic Qualifications6+ years of root cause analysis and process design experience.7+ years of new product introduction (NPI) experience.Bachelor's degree or above in Mechanical, Electrical, Industrial Engineering, or related STEM field.5–8 years in SMT and PCBA process engineering, including high‑volume production.Deep knowledge of SMT line processes (stencil, SPI, pick‑and‑place, reflow, AOI, X‑ray).Expertise in Design for Manufacturability (DFM) and Design for Testability (DFT).Preferred QualificationsMaster's degree or equivalent; experience with DFx (Design for cost, test, manufacturing).Expert knowledge of IPC‑A‑610H, J‑STD‑001H, IPC‑A‑600, and IPC‑7711/21.Strong experience with SMT lines, including stencil printing, pick & place, reflow, automated optical inspection, 5DX, and conformal coating/underfill application.Experience with flying probe testing, design of experiments (DOE), and root cause analysis tools such as 8D or Six Sigma.Familiarity with PLM/PDM systems (Agile, Teamcenter, SAP) and ERP/MES systems.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Los California applicants must submit a job application for this position by completing the required online form. Applicants are also required to provide their admission to the United States, including any work visa sponsorship requirements. Anyone who wishes to work for Amazon in California and Texas locations should provide details of their eligibility to work.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 for more information (when applicable).Base salary range & benefits: 183,000 – 247,600 USD annually (CA, Cupertino) and 159,200 – 215,300 USD annually (TX, Austin). Your package includes sign‑on payments and restricted stock units (RSUs). Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D, supplemental life options, 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

About the Company

A

Amazon

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles