AmazonPosted 2w ago

Sr. Hardware Engineer , Trainium Manufacturing, Quality and Reliability

Sr. Hardware Engineer , Trainium Manufacturing, Quality and Reliability at Amazon scores 80 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

TW, TPE, Taipeiseniorfull-time

AI in this role

Lead manufacturing quality, reliability, and test automation for custom cloud-scale machine learning hardware accelerators.

aws-trainiumaws-inferentia

Within Amazon, Annapurna Labs team is building the next generation cloud server infrastructure. Our success depends on delivering world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. Our servers include accelerators such as AWS Inferentia and AWS Trainium which are machine learning products designed to deliver high performance at low cost.

The Trainium Manufacturing, Quality and Reliability Team is part of Amazon Annapurna Labs focused on Machine Learning products that designs cutting AI platforms for the world’s largest Cloud Services provider. We are seeking a talented and motivated Sr. Hardware Engineer with a proven track record of implementing best in class test techniques and processes within a complex supply chain in Asia. As a member of the Cloud-Scale Machine Learning Acceleration team, you will be the interface between the ASIC, system engineering team and the ODM and CM partners in Asia.
As a Sr. Hardware 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 debug and failure analysis in manufacturing process

The successful candidate will be capable of making wide-ranging business decisions on behalf of the organization and willing to “roll up sleeves and do what needs to get done” to consistently deliver results. We’re changing an industry, and we want individuals who are ready for this challenge.

* Be responsible for the test validation of future technologies.
* Drive manufacturing process quality improvements to address quality and reliability concerns.
* Design and Qualify manufacturing Test Automation station. test fixture and mechanisms for mass production
Lead identifying and validating product/component issue and work with design teams to mitigate them and define the test methodology and test coverage speed up the root causing, repairing failure product from manufacturing or return from fleets
* Provide technical leadership and mentor engineers.
* Working with multiple vendors and ODMs to standardize product manufacturing and quality expectations.

Key job responsibilities
- Work with system engineering teams to identify and escalate manufacturing challenges by enforcing DFM, DFA and DFT
- Evaluate, investigate and introduce new manufacturing testing technology and methodology to enhance product quality and production efficiency at ODM and CM
- Develop or adapt manufacturing test process at the ODM and CM, including critical assembly requirements, test methodology, test automation, signal integrity, power and heat management requirement
- Drive all factory-related failure related to assembly processes or compoenets during ore-production builds; ensure effective closure to enable operational success of the new product introduction cycle, and contiunue reduce the failures products into mass production
- Manage product lifecycle changes, lead product quality and reliability improvement, and drive technical root cause for supplier defects
- Implement and optimize manufacturing 1st pass yields and final pass yield bom pile reduction from prototype through product ramp
- Work with engineering teams in US to clearly represent process and reviews to enable smooth New Product Introduction and changes, Support cost reduction and sustaining activities
- Travel to CM, JDM, ODM site

About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS Annapurna Labs
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic qualifications

- Bachelor's degree in enginnering or equivalent, or 5+ years of electrical or mechanical engineering experience
- Experience in motherboard design, PCB design including schematic capture, stackup and circuit board layout
- Experience in hardware lab equipment such as digital scopes, logic analyzers, and soldering tools
- 5+ years of designing experiments and statistical analysis of results experience
- 5+ years of root cause analysis and process design experience
- Experience in working with external and internal partners throughout development and production
- Experience in development of production testing automation infrastructure including station testing fixture and deployment of production test suites
- Experience with failure analysis techniques to evaluate production, supplier and field failures to drive root cause analysis and resolution.
- Experience with DFM, design for test automation, and creating process documentation from scratch

Preferred qualifications

- Experience working proactively and independently, meeting deadlines, and delivering on projects and tasks
- Knowledge of CAD software like Orcad and Allegro
- Experience performing statistical analysis of data using SQL, Excel and other tools
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Experience using English communication skills, both written and verbal, to foster seamless interaction with stakeholders at all levels
- Experience in liquid cooling designs Experience in high power designs Good understanding of manufacturing strategy and DFMA best practices

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.

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Skills and AI tools this role asks for

Aws TrainiumAws Inferentia

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What's a project where you used Aws Trainium hands-on?
Walk me through how you've used Aws Inferentia in your day-to-day work.
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

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List these exact terms on your resume: Aws Trainium and Aws Inferentia. 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.
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