Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

The Annapurna AI Manufacturing, Quality and Reliability (MQR) 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. As a Senior Reliability 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. * Drive Component qualification, vendor reliability requirements * You will 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. * Working with multiple vendors and ODMs to standardize component manufacturing and reliability expectations.

Key job responsibilities * Responsible for defining reliability tests to be implemented during manufacturing * Drive component manufacturing process improvements to address reliability issues and concerns. * Perform Reliability prediction of failure mechanisms, products under development and products in the field. * Develop and execute qualification test plans for critical components * Monitor component specific manufacturing quality trends and escalate issues * Working with multiple vendors and ODMs to standardize component manufacturing and reliability expectations. * Lead failure analysis for component quality and reliability related issues and field failures (>30 days)

About the team Annapurna 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 Annapurna AI 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. - Bachelor's degree or above in Electrical or Mechanical Engineering, Engineering Technology, Reliability Engineering, or Master's degree in Electrical or Mechanical Engineering, Engineering Technology, Reliability Engineering - 7+ years of Reliability Engineering work experience with server compute platforms or on high-tech hardware - Master's degree or above in Electrical or Mechanical Engineering, Engineering Technology, Reliability Engineering, or Bachelor's degree in Electrical or Mechanical Engineering, Engineering Technology, Reliability Engineering - Experience in server technologies such as, thermal, mechanical, power, and signal integrity - Experience developing test strategies and plans for complex hardware/software systems or systems of systems - Experience working in a fast-paced environment similar to a high-tech start-up - Experience demonstrating problem solving and root cause analysis - Experience working with global teams and diverse partners - Experience in component selection and understanding of component reliability - Demonstrated ability to uncover systemic issues prior to NPI - Demonstrated ability to achieve stretch goals - 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.

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.

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, CA, Cupertino - 183,000.00 - 247,600.00 USD annually USA, TX, Austin - 159,200.00 - 215,300.00 USD annually USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually