AmazonQuality & Reliability Engineer, Trainium Manufacturing, Quality & Reliability
Amazon is hiring a Quality & Reliability Engineer, Trainium Manufacturing, Quality & Reliability in Cupertino, United States. It pays $157k-$213k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this role Builds AI ●●●●: the job is building AI systems.
- The posting mentions reliability engineering, manufacturing process and test validation among its tools and skills.
- Level classes it as a senior role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Senior Reliability Engineer needed for Trainium ML hardware manufacturing and test validation at AWS Annapurna Labs.
* Be responsible for the test validation of future technologies.
* Drive manufacturing process improvements to address reliability issues and concerns.
* 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 degree in Electrical or Mechanical Engineering, Engineering Technology, Reliability Engineering, or 2+ years of maintenance or engineering experience
- 7+ years of reliability engineering work experience with server compute platforms or on high-tech hardware
Preferred qualifications
- 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.
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 - 157,300.00 - 212,800.00 USD annually
USA, TX, Austin - 136,000.00 - 184,000.00 USD annually
How we rate this
Quality & Reliability Engineer, Trainium Manufacturing, Quality & Reliability at Amazon rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where reliability engineering was part of your work. What did you do?
- Tell me about a project where manufacturing process was part of your work. What did you do?
- Tell me about a project where test validation was part of your work. What did you do?
- Tell me about a project where failure analysis was part of your work. What did you do?
- Tell me about a project where hardware reliability was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Reliability Engineering, Manufacturing Process, Test Validation, Failure Analysis, and Hardware Reliability. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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