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
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Execute product performance validation testing.
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Conduct thermal mapping, temperature uniformity, and benchmark testing.
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Analyze product performance and generate technical reports.
Reliability Engineering
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Develop and execute reliability test plans.
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Support HALT, HASS, lifecycle, and stress testing.
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Recreate field failures and support root cause analysis.
Validation Governance
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Develop validation procedures and test methods.
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Define release criteria and validation gates.
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Maintain validation records and technical documentation.
NPI & Industrialization Support
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Support Alpha, Beta, Pilot, and launch activities.
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Validate design changes and engineering modifications.
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Participate in launch readiness reviews.
Laboratory Capability Development
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Support validation laboratory development.
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Improve instrumentation, automation, and data acquisition systems.
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Establish long-term validation expertise within Suzhou.
AI & Digital Engineering
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Utilize AI and analytics tools to accelerate validation data analysis.
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Build digital validation databases and knowledge management systems.
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Explore AI-assisted reliability prediction and failure pattern analysis.
Qualifications:
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Bachelor’s or Master’s degree in Mechanical Engineering, Refrigeration Engineering, Electrical Engineering, Physics, or related field.
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Experience in product testing, validation, reliability engineering, or laboratory environments.
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Familiarity with DOE, reliability methodologies, and data analysis techniques.
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Experience with data acquisition systems and instrumentation preferred.
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Knowledge of AI tools, data analytics, Power BI, Python, or equivalent digital platforms preferred.
Success Metrics:
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Support successful NPI and transfer project validation activities.
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Improve validation cycle time and test efficiency.
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Establish standardized validation methodologies and databases.
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Deliver at least one AI-enabled validation improvement project annually.
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Build foundational capability for future Validation & Reliability Center of Excellence
