Position Details
About this role
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.
Key Responsibilities
- 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
Technical Overview
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.
Ideal Candidate
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.
Must-Have Skills
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile