GPU Server Hardware Engineer for AI/ML

Amazon; Cupertino (CA); On-site; USD 126,000 - 185,000; Full time

Benefits offered by this job

RSUs

Health benefits

401(k) matching

Job summary

Amazon Data Services, Inc. is seeking a Hardware Development Engineer to join the AI/ML server development team in Cupertino. You will investigate hardware issues on GPU server platforms, analyze failure data, and collaborate with senior engineers to understand server architecture and fleet operations.

The role offers growth through mentorship and hands-on cross-stack exposure. You'll contribute to design reviews, document findings, and help drive reliability improvements across hardware,

Qualifications

• Bachelor's degree or above in electrical engineering, computer engineering, or equivalent.
• Experience communicating technical concepts using clear visuals.
• Understanding of computer architecture (CPU, memory, buses, I/O).
• Hands-on experience with Linux environments.
• Strong organizational skills and cross-functional teamwork.
• Desire and energy to work in a fast-paced, learning-intensive environment.

Responsibilities

• Investigate and root cause hardware issues on GPU server platforms with support of an experienced engineer.
• Analyze failure data and trends to identify systemic problems and propose fixes.
• Work with senior engineers to understand server architecture, GPU subsystems, and fleet operations.
• Participate in design reviews for new server platforms, contributing a reliability and serviceability perspective.
• Collaborate with cross-functional teams to close the loop between field failures and design improvements.
• Document findings, contribute to runbooks, and share knowledge with the team.

Skills

Python

Java

C/C++

Linux

Education

Bachelor's degree in EE/CE or related field

Job description

Amazon Data Services, Inc. is seeking a Hardware Development Engineer to join the AI/ML server development team in Cupertino. You will investigate hardware issues on GPU server platforms, analyze failure data, and collaborate with senior engineers to understand server architecture and fleet operations.

The role offers growth through mentorship and hands-on cross-stack exposure. You'll contribute to design reviews, document findings, and help drive reliability improvements across hardware,