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Lead SoC Test and Product Engineer
במקום העבודהמשרה מלאהHardware EngineeringSemiconductor ManufacturingCloud Computing
Lead product and test engineering for custom SoC manufacturing, from architectural definition through global production. Develop test, analytics, screening, and diagnostics solutions for high-volume wafer fabrication and outsourced semiconductor assembly and test operations.
תחומי אחריות
- Develop high-volume SoC manufacturing strategies covering troubleshooting, ATE test coverage, defective-parts reduction, test-cost reduction, power and performance assurance, and system, ATE, and SLT data correlation.
- Drive volume ramp and mass production through test-program releases, production data analytics, lot disposition, extended-test-time reduction, yield improvement, and return merchandise authorization management.
- Provide product leadership across the silicon engineering lifecycle from architectural definition through global availability.
- Build, deploy, and maintain manufacturing screening solutions with ATE and SLT test engineering, quality and reliability, packaging, supplier management, and operations teams.
- Release cost-effective production test solutions and drive yield, quality, performance, and cost objectives.
דרישות
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- At least 10 years of experience in product engineering or test engineering.
- At least 3 years of experience managing people and developing employees.
- Experience with product engineering, supply-chain data analytics, or manufacturing and new product introduction diagnostics.
- Strong understanding of IC flows, wafer processing, testing, qualification, diagnostics, and failure analysis.
יתרון
- Experience with DFT standards and practices, including at-speed TDF, ATPG, MBIST, memory repair, diagnostics, and yield improvement.
- Experience with ATE and SLT customer-return analysis, coverage-gap identification, structural and functional test pattern development, statistical analysis, and yield management systems.
- Proficiency with tools such as JMP, Exensio, YieldExplorer, and Python for data analytics.
- Understanding of skew lot definition, data collection, characterization, analysis, and reporting.