automotivesemiconductorroot cause analysisreliability engineeringyield analysisdevice physicsstatistical data analysissilicon data analysis
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Текст:
Hirify AI/Оригинал
TL;DR
Semiconductor Quality & Reliability Engineer (Semiconductor/Automotive AI): Analyzing silicon, wafer, and test data to identify yield-loss mechanisms, parametric trends, and reliability issues with an accent on semiconductor device physics, statistical analysis, and root-cause investigation. Focus on interpreting electrical behavior and process variation, supporting corrective actions, and improving product quality and yield with design, test, process, manufacturing, and external semiconductor partners.
Location: Jerusalem, Israel; on-site
Company
hirify.global develops purpose-built hardware and AI technologies, including EyeQ™ SoCs and imaging radar, for advanced driver-assistance and autonomous-driving solutions.
What you will do
Perform semiconductor yield analysis and identify yield-loss mechanisms, parametric trends, and outliers.
Analyze test, wafer, and silicon data for quality and reliability investigations.
Apply semiconductor device physics to understand electrical behavior, process variation, and failure mechanisms.
Support root-cause investigations and corrective actions for yield and reliability issues.
Collaborate with design, product, test, process, manufacturing, semiconductor manufacturers, and OSATs.
Prepare technical analyses, reports, and recommendations based on silicon data.
Requirements
Bachelor’s or Master’s degree in Electrical Engineering, Physics, Materials Science, Semiconductor Engineering, or a related field.
Approximately five years of relevant experience in semiconductor quality, reliability, yield, product, process, or device engineering.
Strong understanding of semiconductor device physics.
Hands-on experience with yield analysis, statistical data analysis, and silicon-data interpretation.
Experience investigating parametric variation, yield excursions, and reliability-related issues.
Excellent English documentation and communication skills.
Culture & Benefits
Work in an R&D hardware environment focused on automotive-grade performance and safer mobility.
Collaborate across design, product, test, process, manufacturing, and external semiconductor teams.
Contribute to advanced driver-assistance and autonomous-driving technologies.
Hiring decisions are made by humans, with AI tools supporting parts of the recruitment process.
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