Sr Hardware Reliability Engineer, Trainium Manufacturing, Quality and Reliability

Sr Hardware Quality & Reliability Engineer, Trainium Manufacturing, Quality and ReliabilityThe Trainium Manufacturing, Quality and Reliability (MQR) Team is part of AWS Annapurna Labs focused on Machine Learning products that designs leading edge AI platforms for the world’s largest Cloud Services provider. As a Senior Quality and Reliability Engineer you will engage with an experienced cross-disciplinary staff to conceive and design infrastructure technologies for manufacturing line, product, component and process qualification, audits and testing/analysis. 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.Have a fundamental understanding of Reliability statistics/Reliability tests and/or solid understanding of computer systems to influence design for reliability.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 reliability.Deep-dive in technologies aligned with product roadmap.Provide technical leadership and mentor engineers.Perform Reliability prediction of failure mechanisms, products under development and products in the field.Work with multiple vendors and ODMs to standardize component manufacturing and reliability expectations.Key job responsibilitiesResponsible for defining reliability tests to be implemented during manufacturing.Drive manufacturing process improvements to address quality & reliability issues and concerns including Defect Prevention & Containment.Perform Reliability prediction of failure mechanisms, products under development and products in the field. Defining Test Strategy & Fault Detection Capability.Work with multiple vendors and ODMs to standardize component manufacturing and reliability expectations for Process Discipline & Audit Readiness.Manufacturing Line, Product and and Process Qualification.Conduct and participate in DoEs, perform field monitoring and telemetry analysis.Failure Analysis, Lifecycle Modeling & PoF for early life and wear out.HALT, Burn-In, Accelerated Life Tests (ALT).A day in the lifeAnnapurna Labs is a wholly owned subsidiary of AWS, focused on developing custom silicon and servers including the Nitro, Graviton, Inferentia, and Trainium families of processors.Machine Learning Annapurna (MLA) functions as a vertically integrated team including software, firmware, hardware, and silicon design in a single organization.We are the Training 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.About the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit QualificationsBachelor’s or Master’s degree in Reliability Engineering, Physics or related field, or equivalent experience.7+ years of Reliability Engineering work experience with server compute platforms or on high-tech hardware.Preferred QualificationsMaster’s Degree or PhD in Reliability Engineering or related field.Demonstrated ability to uncover systemic issues prior to NPI.Working understanding of server subcomponents (CPU, memory, HDD, SSD, motherboard, thermal system, peripherals, etc.).Analytical, test plan, and test procedure development experience related to server compute platforms or with high-tech hardware.Demonstrated ability to achieve stretch goals.Ability to thrive in a startup-like environment.Demonstrated ability to drive failure analysis activities to root cause swiftly and accurately.Able to work in a diverse team.Reliability modeling and materials characterization experience.Ability to influence development teams, procurement and external partners.Meets/exceeds Amazon’s leadership principles requirements for this role.Meets/exceeds Amazon’s functional/technical depth and complexity for this role.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.#J-18808-Ljbffr