Description
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. 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
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 manufacturing process improvements to address reliability issues and concerns.
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.
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 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.
Basic Qualifications
Bachelor'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 Qualifications
Master'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 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 https://www.amazon.jobs/en/disability/us .
<br/><br/>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 <a href="https://amazon.jobs/content/en/how-we-hire/accommodations">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.<br/><br/>Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit <a href="https://www.aboutamazon.com/workplace/employee-benefits">https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
