Sr. Quality & Reliability Engineer, Annapurna AI Servers and Systems

Amazon Web Services (AWS)

Austin (TX)

On-site

USD 140,000 - 170,000

Full time

13 days ago

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Job summary

Amazon's Annapurna AI Servers and Systems team at Annapurna Labs is seeking a Senior Reliability Engineer to define and execute reliability testing for manufacturing of cutting-edge hardware platforms. You will drive improvements, mentor engineers, and work with vendors and ODMs to ensure robust product reliability.

The role emphasizes cross-functional collaboration, test strategy development, and deep-dive analyses aligned with a fast-paced hardware development environment.

Qualifications

  • Bachelor’s degree in Electrical or Mechanical Engineering
  • 7+ years of Reliability Engineering on server compute platforms or high-tech hardware
  • Experience in server technologies—thermal, mechanical, power, signal integrity
  • Ability to influence development teams, procurement and external partners
  • Meets Amazon leadership principles for this role

Responsibilities

  • Define reliability tests to be implemented during manufacturing
  • Drive component manufacturing process improvements to address reliability issues
  • Perform reliability prediction of failure mechanisms in development and field products
  • Develop and execute qualification test plans for critical components
  • Monitor manufacturing quality trends and escalate issues
  • Work with multiple vendors and ODMs to standardize component reliability expectations
  • Lead failure analysis for quality and reliability issues and field failures (>30 days)

Skills

Reliability engineering
Hardware testing
Leadership
Cross-functional
Root cause analysis

Education

Bachelor’s degree in Electrical or Mechanical Engineering
Master’s degree in Electrical or Mechanical Engineering

Tools

Thermal simulation tools
Power integrity tools

Job description

Description

The Annapurna AI 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.
Description

The Annapurna AI 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.
  • Drive Component qualification, vendor reliability requirements
  • 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 component manufacturing process improvements to address reliability issues and concerns.
  • Perform Reliability prediction of failure mechanisms, products under development and products in the field.
  • Develop and execute qualification test plans for critical components
  • Monitor component specific manufacturing quality trends and *escalate issues*
  • Working with multiple vendors and ODMs to standardize component manufacturing and reliability expectations.
  • Lead failure analysis for component quality and reliability related issues and field failures (>30 days)
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 Annapurna AI 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 or above in Electrical or Mechanical Engineering, Engineering Technology, Reliability Engineering, or Master's degree in Electrical or Mechanical Engineering, Engineering Technology, Reliability Engineering
  • 7+ years of Reliability Engineering work experience with server compute platforms or on high-tech hardware
Preferred Qualifications
  • Master's degree or above in Electrical or Mechanical Engineering, Engineering Technology, Reliability Engineering, or Bachelor's degree in Electrical or Mechanical Engineering, Engineering Technology, Reliability Engineering
  • Experience in server technologies such as, thermal, mechanical, power, and signal integrity
  • Experience developing test strategies and plans for complex hardware/software systems or systems of systems
  • Experience working in a fast-paced environment similar to a high-tech start-up
  • Experience demonstrating problem solving and root cause analysis
  • Experience working with global teams and diverse partners
  • Experience in component selection and understanding of component reliability
  • Demonstrated ability to uncover systemic issues prior to NPI
  • Demonstrated ability to achieve stretch goals
  • 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 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

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