Onsite AI Server Test Engineer: Drive Quality

Ultimate Staffing Services; Grapevine (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

Ultimate Staffing seeks an AI Server Test Engineer to join a client site in Grapevine, TX. This 100% onsite, full-time role focuses on developing and executing test strategies for AI server products, ensuring quality and reliability through data analysis and process improvements.

The ideal candidate will design testing protocols, automate data collection, analyze results, and collaborate with engineering, manufacturing, and quality teams to drive product excellence.

Qualifications

• Bachelor's degree in a related engineering field and relevant testing experience.
• Experience testing AI server products or data-center hardware is preferred.
• Ability to design, execute and optimize test strategies and protocols.

Responsibilities

• Develop, execute, and optimize test strategies for AI server products.
• Coordinate functional, performance, reliability, and quality control testing.
• Develop automated data collection and validation methods.
• Analyze test data, identify trends, and implement improvements.
• Prepare detailed technical reports and collaborate with engineering teams.
• Support continuous improvement and process optimization initiatives.
• Lead cross-functional collaboration with manufacturing, QA, and supply chain.

Skills

Test Engineering

Hardware Validation

Data Analysis

Root Cause Analysis

Quality Assurance

Process Improvement

Test Automation

Cross-Functional Collaboration

Technical Reporting

Continuous Improvement

Education

Bachelor's degree in Electrical/Computer/Mechanical Engineering

Job description

Ultimate Staffing seeks an AI Server Test Engineer to join a client site in Grapevine, TX. This 100% onsite, full-time role focuses on developing and executing test strategies for AI server products, ensuring quality and reliability through data analysis and process improvements.

The ideal candidate will design testing protocols, automate data collection, analyze results, and collaborate with engineering, manufacturing, and quality teams to drive product excellence.