Semiconductor Quality & Reliability Engineer
Overview
- Added in 30 days
- 65
- At this company, still open
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).
Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!
Apply on the employer's site
Original posting: jobs.eu.lever.co
RISC-V ecosystem
Mobileye Vision Technologies Ltd. in the RISC-V ecosystem
RISC-V International: Strategic
Mobileye is an Israeli subsidiary of Intel corporation that develops vision-based self-driving car and advanced driver-assistance systems providing warnings for collision prevention and mitigation.
- Uses RISC-V in automotive silicon: EyeQ Ultra is described as a RISC-V processor targeting Level-4 autonomous driving
- Exhibited in the RISC-V booth at Embedded World 2023
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