POD Test Engineer - IB4

Location: Houston, TX

• 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.

• 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.

• 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.

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

• 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.