Drimva

Lenovo

Tools Development Engineer (REMOTE)

Morrisville, North Carolina · Full-time · Posted Jul 24, 2026

Experience
Minimum of three (3) years in technical requirements, engineering specifications, architecture documentation, or similar technical content; additional experience qualifications are stated without a specific number of years.
Education
Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related technical discipline.

About the job

Defines and documents serviceability requirements and tools architecture for next-generation non-x86 server platforms, helping engineering teams diagnose, maintain, and repair complex systems.

What you'll do

  • Develop and maintain serviceability requirements, technical specifications, design guidance, and engineering documentation.
  • Review platform designs for serviceability gaps and risks, and coordinate cross-functional resolution.
  • Maintain traceability across service use cases, product requirements, diagnostic capabilities, and published service information.

What they ask for

  • Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related technical discipline.
  • At least three years developing technical requirements, engineering specifications, architecture documentation, or similar technical content.
  • Experience defining product requirements related to hardware serviceability, diagnostics, technical support, repair processes, or related engineering functions.
  • Working knowledge of server hardware architecture and experience with enterprise server technologies, data center infrastructure, or similar platforms.

Nice to have

  • Understanding of Design for Serviceability (DFS), Design for Supportability (DFSu), Design for Reliability (DFR), or similar methodologies.
  • Experience supporting ARM-based, AI, GPU-accelerated, HPC, or other non-x86 server platforms.

Tools

BMCs, Redfish, DOORS, Jira, Confluence, Git

AI focus

Defines serviceability requirements and tools architecture for next-generation AI system platforms, including AI and GPU-accelerated servers.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)