AI-Driven TCAD Modeling & Reliability Engineer

Strategic Micro Systems of NJ, LLC.; Cornaredo; On-site; EUR 38,000 - 45,000; Full time

Job summary

STMicroelectronics in Italy is seeking a candidate to contribute to the modeling and TCAD simulation of elementary components in smart-power technologies, with a strong focus on reliability. You will develop and apply advanced computational models and tools to predict degradation mechanisms and to accelerate design decisions.

The role also involves applying machine learning techniques to calibrate models and optimize performance, helping shorten development cycles, reduce fabrication costs, and

Qualifications

• Master’s degree in physics, engineering, or materials science.
• Strong knowledge of semiconductor physics and devices.
• Experience in TCAD simulation, numerical modeling and data science.
• Business proficiency in English.
• Strong problem-solving and teamwork abilities.

Responsibilities

• Modeling and TCAD simulation of elementary components in smart-power technologies with a focus on reliability.
• Develop and apply advanced computational models and tools to predict degradation mechanisms (hot-carrier effects, dielectric breakdown, carrier transport in insulators, electromigration).
• Use machine learning methods to accelerate model calibration and performance optimization.
• Help shorten development cycles, reduce fabrication costs, and improve device performance.

Skills

Semiconductor physics

Numerical modeling

Data science

English (Business proficiency)

Teamwork

Education

Master’s degree in Physics/Engineering/Materials Science

Tools

TCAD

Job description

STMicroelectronics in Italy is seeking a candidate to contribute to the modeling and TCAD simulation of elementary components in smart-power technologies, with a strong focus on reliability. You will develop and apply advanced computational models and tools to predict degradation mechanisms and to accelerate design decisions.

The role also involves applying machine learning techniques to calibrate models and optimize performance, helping shorten development cycles, reduce fabrication costs, and