Test & Validation Engineer

Job description

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