On-site Test Engineer II: AI/ML Compute & Automation

jabil

Florence (KY)

On-site

USD 70,000 - 95,000

Full time

8 days ago
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Job summary

Jabil in Florence, KY is seeking a Test Engineer II to lead the development and integration of next-generation compute platforms, including AI/ML and GPGPU systems. You’ll drive test procedures, troubleshoot complex hardware and software, and mentor technicians in a high-volume manufacturing environment.

You will apply automation with Python/Bash, analyze logs with JSON and Excel/Power BI, and support NPI readiness and production ramp for enterprise-grade compute solutions.

Qualifications

  • Bachelor's degree in Electrical/Computer Engineering, CS, or related field.
  • 2+ years in test engineering, failure analysis, or hardware validation in manufacturing.
  • Experience with server, networking, and storage systems.
  • Proficient in Linux, Python, and Bash.

Responsibilities

  • Design, develop, and maintain test procedures, test systems, hardware, and software for advanced compute platforms.
  • Lead failure analysis and root cause investigations across hardware and software domains.
  • Troubleshoot complex server, networking, storage, and accelerator-based systems.
  • Support AI/ML, GPU, and high-performance compute platforms through integration and production.
  • Interpret test logs, JSON outputs, and system data to identify trends and drive improvements.
  • Develop and deploy automation using Python and Bash scripting.
  • Analyze manufacturing and system data using Excel and Power BI.
  • Support NPI readiness and production ramp.

Skills

Advanced Linux CLI
Python
Bash
JSON
Compute architecture
Networking
Excel
Power BI

Education

Bachelor's degree in Electrical/Computer Engineering or CS

Job description

Jabil in Florence, KY is seeking a Test Engineer II to lead the development and integration of next-generation compute platforms, including AI/ML and GPGPU systems. You’ll drive test procedures, troubleshoot complex hardware and software, and mentor technicians in a high-volume manufacturing environment.

You will apply automation with Python/Bash, analyze logs with JSON and Excel/Power BI, and support NPI readiness and production ramp for enterprise-grade compute solutions.

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