Sr. Manufacturing Test Engineer, Aws Rack Mfg Operations

Amazon Amazon · Big Tech · Singapore · Project/Program/Product Management--Non-Tech

This role focuses on the manufacturing test engineering for AI server hardware products, ensuring quality, throughput, and on-time delivery. It involves architecting and maintaining test infrastructure, developing production test software and automation, driving automation and self-remedy capabilities, defining test strategies with statistical process controls, analyzing production data, and collaborating with cross-functional teams for new product introduction and sustaining efforts. While it supports AI hardware, the core function is manufacturing test engineering, not AI model development or research.

What you'd actually do

  1. Own and Support the Test Ecosystem: Architect, develop, and maintain the manufacturing test infrastructure for AI server hardware products, spanning board-level validation through full rack integration and networking.
  2. Build and Scale Test Software: Design and maintain production test software and automation frameworks using Python, Bash, and related tooling, including test sequencing, equipment control, data collection, and reporting pipelines.
  3. Drive Automation & Self-Remedy: Develop automated test processes and self-healing capabilities that reduce manual intervention, increase throughput, and improve first-pass yield across the production line.
  4. Define Test Strategy: Establish modular test strategies, define pass/fail limits, and implement statistical process controls (GR&R, Cp/Cpk, correlation analysis) to ensure product quality at scale.
  5. Analyze Production Data: Compile and analyze test data using both automated reporting systems and exploratory analysis techniques to identify trends, root-cause failures, and drive corrective actions

Skills

Required

  • Manufacturing test engineering
  • Hardware testing
  • Software development (Python, Bash)
  • Automation frameworks
  • Data analysis
  • Statistical process control (GR&R, Cp/Cpk, correlation analysis)
  • New Product Introduction (NPI)
  • Cross-functional collaboration

Nice to have

  • Experience with AI accelerator platforms
  • Experience with server, storage, and network equipment testing
  • Experience with cloud infrastructure

What the JD emphasized

  • AI server hardware products
  • manufacturing test strategy
  • end-to-end manufacturing test ecosystem
  • own the fix
  • relentlessly drives uptime and automation
  • Own and Support the Test Ecosystem
  • Build and Scale Test Software
  • Drive Automation & Self-Remedy
  • Own Uptime & Yield
  • Support New Product Introduction (NPI)
  • Sustain & Improve