Senior Test Engineer

This is a fully remote position, open to applicants in Taiwan.

📋 Description

• Create and execute manufacturing strategies for high-volume SoC products.

• Enhance ATE/SLT test coverage, minimize defective parts per million (DPPM) and testing costs, and oversee product data integration.

• Expedite mass production by releasing test programs, utilizing data analytics, managing lot disposition, reducing test time, improving yield, and handling RMA.

• Collaborate with Test, Quality, Packaging, and Operations teams to implement and sustain high-volume manufacturing screening solutions.

• Oversee database integration for wafer sort (CP), final testing, and SLT.

• Manage test program integration, production releases, binning, defining manufacturing flows, handling NPI materials, and optimizing foundry processes.

• Develop and implement manufacturing test and data analytics solutions for high-volume production at wafer fabrications and OSATs.

• Integrate SoC technologies into devices and direct manufacturing test flows to ensure performance and device screening.

• Propel yield enhancement, cost reduction, production test solutions, and quality objectives.

• Implement screening methodologies and processes for data processing, analytics, and diagnostics.

• Leverage knowledge of IC flows, wafer processing, testing, qualification, diagnostics, and failure analysis.

⛳️ Requirements

• Familiarity with industry standards, design tools, and best practices for design for testing (DFT), including at-speed transition delay fault (TDF), automatic test pattern generation (ATPG), memory built-in self-test (MBIST), memory repair, diagnostic tools, and yield enhancement.

• Experience in product engineering, supply chain data analytics, and diagnostics for High Volume Manufacturing and New Product Introduction (NPI).

• Proven track record in evaluating customer returns using ATE and SLT, identifying coverage deficiencies, and developing additional structural and functional patterns to resolve quality challenges.

• Proficiency with statistical analysis tools such as JMP.

• Experience with Yield Management Systems including Exensio, YieldExplorer, and JMP.

• Proficient in Python for data analytics tasks.

• Understanding of skew lot definitions, data collection, characterization, data analysis, and reporting.

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.

• Minimum of 8 years of experience in product engineering or test engineering.

• At least 1 year of experience in people management and employee development.

• Background in product engineering, supply chain data analytics, or diagnostics related to manufacturing or NPI.

🏝️ Benefits

• Equal Opportunity Employer.

• Accessibility and accommodations during the hiring process.