Semiconductor Quality & Reliability Engineer

Mobileye develops purpose-built hardware and AI technologies that power advanced driver-assistance and autonomous-driving solutions. Our EyeQ™ SoCs and imaging radar technologies are designed to deliver scalable, automotive-grade performance and help enable safer mobility worldwide.

We are looking for a Semiconductor Quality & Reliability (Q&R) Engineer with experience in yield analysis and semiconductor device physics. The role focuses on analyzing silicon data, identifying yield and reliability issues, and supporting root-cause investigations and continuous improvement.

What will your job look like:

• Perform semiconductor yield analysis and identify yield-loss mechanisms, parametric trends, and outliers.
• Analyze test, wafer, and silicon data to support quality and reliability investigations.
• Apply device physics knowledge to understand electrical behavior, process variation, and potential failure mechanisms.
• Support root-cause analysis and corrective actions for yield and reliability issues.
• Collaborate with design, product, test, process, and manufacturing teams to improve product quality and yield.
• Prepare technical analyses, reports, and recommendations based on silicon data.

All you need is:

• Bachelor’s or Master’s degree in Electrical Engineering, Physics, Materials Science, Semiconductor Engineering, or a related field.
• ~5 years of relevant experience in semiconductor quality, reliability, yield engineering, product engineering, process engineering, or device technology.
• Solid 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.
• Strong analytical, problem-solving, and communication skills.
• Communicative with internal teams and external semiconductor manufacturers and OSATs.
• Excellent documentation and language skills (English).