Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 10 years of experience in product engineering or test engineering. 3 years of experience in people management, developing employees. Experience with product engineering, supply chain data analytics or diagnostics for manufacturing or New Product Introduction (NPI). Preferred qualifications: Experience with industry standards, design tools, and DFT best practices, including at-speed TDF, ATPG, MBIST, Memory Repair, diagnostic tools, yield improvement. Experience with product engineering, supply chain data analytics and diagnostics for High Volume Manufacturing and NPI. Experience evaluating customer returns with ATE and SLT, identifying coverage gaps, developing incremental structural and functional patterns to address quality issues, Statistical analysis (e.g., JMP), Yield Management Systems (e.g., Exensio, YieldExplorer, JMP), and Python for data analytics. Understanding of skew lot definition, data collection, characterization, data analysis and report.
