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Lead SoC Test and Product Engineer
В офисеПолная занятостьHardware 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.
Обязанности
- 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.
Требования
- 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.
Будет плюсом
- 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.