Sr. Hardware Dev Engineer (AWS Generative AI & ML Servers)

Company:  Amazon
Location: Cupertino
Closing Date: 25/10/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Sr. Hardware Dev Engineer (AWS Generative AI & ML Servers)

Job ID: 2698053 | Amazon Web Services, Inc.

Do you want to build the backbone of Generative AI cloud at AWS? Do you want to build the future of the cloud for AI training and inference? Want to do industry leading work delivering continuous price performance improvements in the cloud for AI model training for multi billion variable LLMs? Come Join us in designing, delivering and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads.

Key job responsibilities:

  1. Own and lead the design, development, and root cause of a new segment of accelerated servers.
  2. Work closely with customers to understand technical needs and business goals to architect solutions deployed at scale.
  3. Collaborate with interdisciplinary teams to bring servers to the data center and oversee their quality post-launch.

A day in the life:

Interface with internal and external customers to understand project requirements and facilitate system development. Learn operational challenges to improve current customer experience and develop superior systems for future designs. Work with vendors and ODM/JDM design teams for product development at scale.

About the team:

The team comprises Hardware Design Engineers, System Design Engineers, Software Development Engineers, and Technical Program Managers, aiming to deliver the best Accelerated Server fleet.

BASIC QUALIFICATIONS

- Experience in developing functional specifications, design verification plans, and functional test procedures

PREFERRED QUALIFICATIONS

- Master's degree in electrical engineering, computer engineering, or equivalent
- Experience working with interdisciplinary teams to execute product design from concept to production
- Experience with the project management of technical projects

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