Description
- 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.
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.
USA, CA, Cupertino - 157,300.00 - 212,800.00 USD annually
USA, TX, Austin - 136,000.00 - 184,000.00 USD annually
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually
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.
* 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.
- 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.
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
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually
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.
* 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.
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
60,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 452 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
To try it out
For active job seekers
For those who are passive looking
Cancel anytime
Frequently Asked Questions
- We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
- We've got over 200,000 jobs from 15,000+ vetted companies. No fake or sleazy jobs here!
- We aggregate jobs from 15,000+ companies' career pages, so you can be sure that you're getting the most up-to-date and relevant jobs.
- We're the only job board *for* software engineers, *by* software engineers… in case you needed a reminder! We add thousands of new jobs daily and offer powerful search filters just for you. 🛠️
- Every single hour! We add 2,000-3,000 new jobs daily, so you'll always have fresh opportunities. 🚀
- Typically, job searches take 3-6 months. EchoJobs helps you spend more time applying and less time hunting. 🎯
- Check daily! We're always updating with new jobs. Set up job alerts for even quicker access. 📅
What Fellow Engineers Say