Hardware Engineer - AI/ML GPU Servers (Self-Healing)

Amazon Web Services (AWS); Denver (CO); On-site; USD 109,700 - 160,000; Full time

Benefits offered by this job

Sign-on payments

RSUs

Health insurance

Job summary

AWS Hardware Engineering builds and maintains the servers behind the world's largest cloud. We focus on GPU-accelerated platforms that run generative AI and ML at global scale.

You will join as a Hardware Development Engineer and grow with mentoring from experienced engineers across hardware, firmware, software, and operations. You'll learn end-to-end server systems, contribute to reliability, and ship impactful improvements that power AI at scale.

Qualifications

• Bachelor's degree in electrical engineering, computer engineering, or equivalent.
• Experience communicating technical concepts clearly with visuals.

Responsibilities

• Investigate and root cause hardware issues on GPU server platforms with support of an experienced engineer — learn to trace problems across electrical, firmware, and software layers.
• 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.
• Collaborate with cross-functional teams to close the loop between field failures and design improvements.

Skills

Python

Java

C

C++

Linux

Communication

Education

Bachelor's degree in electrical engineering or computer engineering

Tools

Python

Java

C

C++

Job description

AWS Hardware Engineering builds and maintains the servers behind the world's largest cloud. We focus on GPU-accelerated platforms that run generative AI and ML at global scale.

You will join as a Hardware Development Engineer and grow with mentoring from experienced engineers across hardware, firmware, software, and operations. You'll learn end-to-end server systems, contribute to reliability, and ship impactful improvements that power AI at scale.