Quality & Reliability Engineer, Trainium Manufacturing, Quality & Reliability; AWS
Listed on 2026-02-28
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Engineering
Systems Engineer
Quality & Reliability Engineer, Trainium Manufacturing, Quality & Reliability
The Trainium 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.
- Be responsible for the test validation of future technologies.
- Drive manufacturing process improvements to address reliability issues and concerns.
- 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.
- Responsible for defining reliability tests to be implemented during manufacturing.
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 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.
- Bachelor's or Master's degree in Electrical/Mechanical Engineering, Physics or a related field with a focus on Reliability or equivalent experience
- 7+ years of reliability engineering work experience with server compute platforms or on high‑tech hardware
- Experience working in a fast‑paced environment similar to a high‑tech start‑up
- Reliability modeling and materials characterization experience
- Master's Degree or PhD in Reliability Engineering or related field
- Demonstrated ability to uncover systemic issues prior to new product introduction
- Working understanding of server subcomponents (CPU, GPU, 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Salary and BenefitsThe 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 (Use the "Apply for this Job" box below)..
USA, CA, Cupertino - - USD annually
USA, TX, Austin - - USD annually
USA, WA, Seattle - - USD annually
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