✦ Luna Orbit — Engineering (Non-Software)

System Development Engineer, AI/ML (Accelerator) Server

at Amazon.com

📍 US, WA, Seattle Unknown Posted April 14, 2026
Type Full-Time
Experience mid
Exp. Years Not specified
Education Not specified
Category Engineering (Non-Software)

AWS seeks a System Development Engineer for AI/ML Accelerator Server systems with a focus on leading SSD automation initiatives. The role involves systems debugging, designing and implementing automation capabilities, and leading the SysDE community to eliminate redundant manual work.

  • Lead SSD team automation ideation, design, and implementation
  • Perform systems debugging and diagnose/fix server issues
  • Identify and resolve interaction issues between components
  • Pitch and optimize automation initiatives
  • Lead the SysDE community to eliminate redundant manual efforts

Work within AWS Hardware Engineering (HWEng) storage organizations to ideate, design, and implement Solid-State Drive (SSD) automation capabilities used across server platform teams (including AI/ML servers). Emphasis is on end-to-end systems debugging, diagnosing component interaction issues, and delivering improvements to AWS storage platforms at large cloud scale.

The ideal candidate is a mid-level System Development Engineer with strong hardware-to-software systems debugging skills, particularly for server and storage components. They can lead the ideation, design, and implementation of Solid-State Drive (SSD) automation capabilities and drive down manual, redundant operational effort via community leadership.

ideationdesign and implementation of new automation capabilitiessystems debuggingdevelop tactical solutions/tools to diagnose and fix issuesability to find interaction issues between components on server systemslead ideation/design/implementation in the Solid-State Drive (SSD) teamlead the SysDE community to eliminate tactical and redundant manual efforts
hardware engineeringSolid-State Drive (SSD) automationsystems debuggingdiagnose and fix issuesserver systemsinteraction issues between componentsideationdesignimplementationstorage platformscloud scale
hardware engineeringstorage systemsSolid-State Drive (SSD) automationideationdesignimplementationautomation capabilitiesserver systemssystems debuggingdiagnose and fix issuestactical solutions/toolsinteraction issues between componentsorganizational skillsplanningcommunicationleadershipcloud scalehardware up to software technical stackAWS server platform teamsnext-generation AWS Storage platforms
leadershiporganizational skillsplanningcommunicationowning work to completioncross-team collaborationbold ideascommunity leadership
Industry Aerospace
Job Function Lead automation and systems debugging for AWS SSD/storage platforms used by AI/ML and other server teams.
Role Subtype Storage Admin
Tech Domains Amazon Web Services
System Development EngineerAI/ML (Accelerator) ServerAI/ML serversAccelerator ServerAWS Hardware EngineeringHWEngStorage organizationSolid-State Drive (SSD)SSD teamautomation capabilitiessystems debuggersystems debuggingdiagnose and fix issuestactical solutionsinteraction issues between componentsserver platform teamsnext-generation AWS Storage platformsautomation initiativesSysDE communityoperational excellencefrugalitycloud scaleAWS Storage
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