Foxconn Industrial Internet

Designs and manufactures intelligent manufacturing solutions

POD Test Engineer

Manufacturing EngineeringConfirmed live in the last 24 hours

Full-timeHouston, TX, USANo salary listedIn-person

About the Job

Requirements

A bachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, Computer Science, or a related field is required.
At least 3 years of experience in Manufacturing Test Engineering, System Validation, NPI, or Data Center operations is required.
Experience with server hardware, networking, Linux environments, and manufacturing test systems is required.
Strong troubleshooting and root cause analysis skills are required.
Knowledge of manufacturing processes, quality systems, and failure analysis methodologies is required.

Responsibilities

Support daily POD operations and ensure maximum test station uptime.
Monitor production performance, throughput, cycle time, and first pass yield (FPY).
Provide technical support for AST, FLA, FCT, FC2, IOT, IST, FPF, NVL, ORT, and other validation processes.
Ensure test systems, racks, fixtures, and infrastructure remain operational and available.
Perform root cause analysis of test failures.
Debug hardware, software, network, and infrastructure-related issues.
Analyze logs, diagnostic reports, BMC data, and test results.
Drive corrective and preventive actions (CAPA) to improve yield and reliability.
Support customer escalations and provide technical updates.
Identify opportunities to improve test coverage, cycle time, and production efficiency.
Develop and implement automation solutions for reporting, monitoring, and diagnostics.
Drive continuous improvement initiatives focused on quality and operational excellence.
Participate in DOE activities and process validation.
Support NPI builds, engineering validation, and manufacturing ramp activities.
Validate test procedures, software releases, fixtures, and station configurations.
Collaborate with cross-functional teams to ensure manufacturing readiness.
Create and maintain SOPs, work instructions, troubleshooting guides, and engineering reports.
Generate daily, weekly, and monthly performance reports.
Track key metrics including FPY, APY, LPY, cycle time, downtime, and failure paretos.
Present technical findings to management and customers.
Train technicians and junior engineers on test procedures and troubleshooting methodologies.
Provide technical leadership during critical production events.
Support staffing, shift handovers, and escalation processes.

Desired Qualifications

Experience with Python, Bash, PowerShell, or automation tools is preferred.
Experience with AI servers, GPU platforms, liquid cooling systems, or high-performance computing products.
Experience with NVIDIA, data centers, rack integration, or system-level testing.
Familiarity with SFC, MES, BMC, IPMI, PXE boot, and network infrastructure.
Knowledge of statistical analysis, yield improvement, and process control methodologies.

POD Test Engineer

Position Summary
The POD Test Engineer is responsible for supporting, maintaining, and improving server rack test operations within the POD environment. This role ensures test readiness, production stability, failure analysis, process optimization, and continuous improvement of system-level testing for AI and Data Center products. The engineer serves as the technical interface between Manufacturing, Quality, Facilities, Software, and Customer Engineering teams to achieve production and quality targets.
Key Responsibilities
Production Test Support

Support daily POD operations and ensure maximum test station uptime.
Monitor production performance, throughput, cycle time, and first pass yield (FPY).
Provide technical support for AST, FLA, FCT, FC2, IOT, IST, FPF, NVL, ORT, and other validation processes.
Ensure test systems, racks, fixtures, and infrastructure remain operational and available.

Failure Analysis & Troubleshooting

Perform root cause analysis of test failures.
Debug hardware, software, network, and infrastructure-related issues.
Analyze logs, diagnostic reports, BMC data, and test results.
Drive corrective and preventive actions (CAPA) to improve yield and reliability.
Support customer escalations and provide technical updates.

Process Improvement

Identify opportunities to improve test coverage, cycle time, and production efficiency.
Develop and implement automation solutions for reporting, monitoring, and diagnostics.
Drive continuous improvement initiatives focused on quality and operational excellence.
Participate in DOE activities and process validation.

New Product Introduction (NPI)

Support NPI builds, engineering validation, and manufacturing ramp activities.
Validate test procedures, software releases, fixtures, and station configurations.
Collaborate with cross-functional teams to ensure manufacturing readiness.

Documentation & Reporting

Create and maintain SOPs, work instructions, troubleshooting guides, and engineering reports.
Generate daily, weekly, and monthly performance reports.
Track key metrics including FPY, APY, LPY, cycle time, downtime, and failure paretos.
Present technical findings to management and customers.

Team Support

Train technicians and junior engineers on test procedures and troubleshooting methodologies.
Provide technical leadership during critical production events.
Support staffing, shift handovers, and escalation processes.

Required Qualifications

Bachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, Computer Science, or related field.
3+ years of experience in Manufacturing Test Engineering, System Validation, NPI, or Data Center operations.
Experience with server hardware, networking, Linux environments, and manufacturing test systems.
Strong troubleshooting and root cause analysis skills.
Experience with Python, Bash, PowerShell, or automation tools is preferred.
Knowledge of manufacturing processes, quality systems, and failure analysis methodologies.

Preferred Qualifications

Experience with AI servers, GPU platforms, liquid cooling systems, or high-performance computing products.
Experience with NVIDIA, Data Center, Rack Integration, or System Level Testing.
Familiarity with SFC, MES, BMC, IPMI, PXE boot, and network infrastructure.
Knowledge of statistical analysis, yield improvement, and process control methodologies.

Key Performance Indicators (KPIs)

First Pass Yield (FPY)
Average Pass Yield (APY)
Test Station Uptime
Production Throughput
Cycle Time Reduction
Escaped Defects
Customer Satisfaction
Corrective Action Closure Rate

Work Environment

Fast-paced manufacturing and data center environment.
Support of multiple shifts, including occasional off-hours and weekend activities.
Interaction with customers, suppliers, and cross-functional engineering teams.
Ability to work around server racks, power distribution systems, and liquid cooling infrastructure.

About the Company

Foxconn Industrial Internet

Designs and manufactures intelligent manufacturing solutions

Foxconn Industrial Internet designs and manufactures technology infrastructure for large tech firms, focusing on intelligent manufacturing and the industrial internet. It combines hardware design and production with software-enabled solutions, including AI and automation platforms like Lighthouse Factory, the FII Cloud (with Tencent Cloud), and Fog Cerebellum, to help clients digitize data and optimize production lines. It differentiates itself through large-scale integration as a design-to-manufacture partner, exclusive assembly of premium Nvidia GB200 AI servers, and a strong push into higher-margin cloud, networking, and industrial AI services backed by Foxconn. Its goal is to move from traditional contract manufacturing to high-value technology services, expanding its AI-server, data-center, EV, and semiconductor test automation businesses with scalable intelligent manufacturing solutions.

Company size: 1,001-5,000
Company stage: IPO
Headquarters: Shenzhen, China
Founded: 2015

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