Senior AI Hardware Systems Architect

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 159,000 - 215,000

Full time

14 days+
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Job summary

Amazon Web Services (AWS) in Seattle, WA seeks an experienced hardware/system design engineer to shape the foundation of AI and cloud-scale infrastructure. You will lead server architecture, drive reliability, and work with vendors, ODM/JDM teams, and product management to deliver scalable systems.

The role emphasizes cross-disciplinary collaboration across hardware, software, and operations, with opportunities to influence design choices at scale in a fast-paced environment.

Qualifications

  • Bachelor's degree in electrical or computer engineering or equivalent.
  • 5+ years in design/innovation, manufacturing, or related experience.
  • In-depth server tech knowledge including thermal, mechanical, power, signal integrity.

Responsibilities

  • Lead technical solutions for complex high performance server and rack system design.
  • Own end-to-end system reliability and proactively resolve deficiencies.
  • Design and implement large-scale system solutions across hardware and software.
  • Decompose complex server issues into deliverable tasks and features.
  • Collaborate with hardware, software, manufacturing, supply chain and product teams.
  • Develop diagnostic tools and monitoring for production systems.

Skills

Server hardware
Electrical engineering
System design
Analytical skills
English communication

Education

Bachelor's degree in electrical/computer engineering
Master's degree

Tools

Linux
Python
BIOS/BMC

Job description

Amazon Web Services (AWS) in Seattle, WA seeks an experienced hardware/system design engineer to shape the foundation of AI and cloud-scale infrastructure. You will lead server architecture, drive reliability, and work with vendors, ODM/JDM teams, and product management to deliver scalable systems.

The role emphasizes cross-disciplinary collaboration across hardware, software, and operations, with opportunities to influence design choices at scale in a fast-paced environment.

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