Manufacturing Engineer, Trainium Manufacturing, Quality and Reliability
Amazon - Austin, Texas, USA
Posted Jan 14, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Manufacturing Engineer, Trainium Manufacturing, Quality and Reliability Austin, Texas, USA Leading the manufacturing of AI Servers and Systems based on Trainium chips across cross-geographical ODMs and CMs. As part of the Manufacturing, Quality and Reliability Team in Annapurna Labs focused on Machine Learning products that designs cutting AI platforms for the world's largest Cloud Services provider. Within 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 Trainium and Inferentia which are machine learning products designed to deliver high performance at low cost. The Trainium Manufacturing, Quality and Reliability Team is part of 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 Manufacturing Engineer with a proven track record of implementing best in class test techniques and processes within a complex supply chain. As a member of the Cloud-Scale Machine Learning Acceleration team, you will be the interface between the system engineering team and the ODM and CM partners. As a Manufacturing 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.
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