Test Engineer IV - Day shift

Jabil•Florence, KY

3d•Onsite

About The Position

At Jabil (NYSE: JBL), we are proud to be a trusted partner for the world's top brands, offering comprehensive engineering, supply chain, and manufacturing solutions. With 60 years of experience across industries and a vast network of over 100 sites worldwide, Jabil combines global reach with local expertise to deliver both scalable and customized solutions. Our commitment extends beyond business success as we strive to build sustainable processes that minimize environmental impact and foster vibrant and diverse communities around the globe. Jabil is seeking a Test Engineer IV (Lead Test Engineer) to join our Advanced Compute team in Northern Kentucky. In this role, you will support the development, integration, testing, and continuous improvement of advanced AI/ML, GPGPU, server, networking, and storage platforms within a high-volume manufacturing environment. You will play a critical role in improving product quality, system performance, and manufacturing efficiency through failure analysis, automation, and test engineering leadership. This position is highly impactful to both customer satisfaction and operational excellence, supporting cutting-edge compute hardware and infrastructure technologies used in enterprise and AI-driven environments. The ideal candidate will bring strong Linux expertise, server/network troubleshooting experience, scripting knowledge, and a deep understanding of compute hardware systems and manufacturing concepts.

Requirements

8+ years of experience in hardware testing, failure analysis, or test engineering within a manufacturing or mass production environment.
Experience troubleshooting server computers, networking systems, and compute hardware platforms.
Experience with Linux environments, Bash scripting, Python scripting, and test automation.
Experience with manufacturing concepts, LEAN methodologies, and quality metrics.
Experience presenting technical data and leading technical discussions in English.
Advanced Linux command-line expertise.
Familiarity with Bash scripting, Python, JSON files, and software development concepts.
Strong understanding of computer architecture and compute server functionality.
Knowledge of networking systems including switches, routers, optical fibers, transceivers, IP configurations, and Layer 3 networking.
Strong analytical, troubleshooting, and statistical data analysis skills.
Proficiency in Microsoft Excel and Power BI for data analysis and reporting.

Nice To Haves

Bachelor’s degree in Computer Science, Computer Engineering, Electronics Engineering, Electrical Engineering, or related engineering discipline preferred.

Responsibilities

Design, develop, and maintain test procedures, tester hardware, and software for advanced compute and server platforms.
Perform detailed failure analysis and root cause investigations on hardware and software-related issues.
Troubleshoot complex server, networking, and storage systems in a manufacturing environment.
Develop and maintain Bash and Python scripts to automate testing and data collection processes.
Analyze system and manufacturing data using Excel and Power BI to drive continuous improvement initiatives.
Support AI/ML, GPGPU, and hardware accelerator-based server and storage platforms during integration and production.
Configure, troubleshoot, and support networking systems including switches, routers, IP configurations, LAN/WAN environments, and Layer 3 networking.
Support optical networking technologies including transceivers, fiber optics, and fiber optic hardware types.
Utilize Linux command line tools and train team members on Linux fundamentals and scripting basics.
Collaborate with engineering, manufacturing, and customer teams to resolve technical challenges and improve product quality.
Lead and mentor test engineers, technicians, and support staff while promoting technical excellence and accountability.
Support New Product Introduction (NPI) activities and ensure readiness for manufacturing and test operations.
Apply LEAN manufacturing concepts and quality methodologies including Yield, GRR, DPPM, and statistical analysis techniques.
Interpret test logs, JSON files, and software outputs to identify trends and improve system performance.
Present technical findings, test data, and improvement recommendations in meetings with internal teams and customers.
Drive continuous improvement through process optimization, automation, and cost reduction initiatives.
Maintain compliance with all company safety, security, and quality policies.
Perform other duties as assigned.