Test & Validation Engineer

Location: Job Posting, Jiangsu, China

Category: Operations

Employment Type: Full time

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Position Summary

The Test & Validation Engineer will support the development of Suzhou’s Validation & Reliability Center of Excellence by establishing validation methodologies, reliability testing capability, and product verification processes.

This role will be a key contributor to product transfer, NPI, quality improvement, and future product development programs.

Key Responsibilities

Product Validation

• Execute product performance validation testing.
• Conduct thermal mapping, temperature uniformity, and benchmark testing.
• Analyze product performance and generate technical reports.

Reliability Engineering

• Develop and execute reliability test plans.
• Support HALT, HASS, lifecycle, and stress testing.
• Recreate field failures and support root cause analysis.

Validation Governance

• Develop validation procedures and test methods.
• Define release criteria and validation gates.
• Maintain validation records and technical documentation.

NPI & Industrialization Support

• Support Alpha, Beta, Pilot, and launch activities.
• Validate design changes and engineering modifications.
• Participate in launch readiness reviews.

Laboratory Capability Development

• Support validation laboratory development.
• Improve instrumentation, automation, and data acquisition systems.
• Establish long-term validation expertise within Suzhou.

AI & Digital Engineering

• Utilize AI and analytics tools to accelerate validation data analysis.
• Build digital validation databases and knowledge management systems.
• Explore AI-assisted reliability prediction and failure pattern analysis.

Qualifications:

• Bachelor’s or Master’s degree in Mechanical Engineering, Refrigeration Engineering, Electrical Engineering, Physics, or related field.
• Experience in product testing, validation, reliability engineering, or laboratory environments.
• Familiarity with DOE, reliability methodologies, and data analysis techniques.
• Experience with data acquisition systems and instrumentation preferred.
• Knowledge of AI tools, data analytics, Power BI, Python, or equivalent digital platforms preferred.

Success Metrics:

• Support successful NPI and transfer project validation activities.
• Improve validation cycle time and test efficiency.
• Establish standardized validation methodologies and databases.
• Deliver at least one AI-enabled validation improvement project annually.
• Build foundational capability for future Validation & Reliability Center of Excellence