Device Modeling Engineer

Tata Electronics Limited; India; Presencial; INR 1.500.000 - 2.100.000; Jornada completa

Descripción de la vacante

Tata Electronics Limited seeks a Device Modeling Engineer to advance semiconductor device modeling, characterization, and data analysis. You will contribute to model extraction, QA, and test-structure planning while collaborating with cross-functional teams.

Ideal candidates hold a PhD or Master's with extensive industry experience, with strong skills in device physics, CMOS tech, and Python for data analysis and automation.

Formación

• PhD with 5+ years of relevant industry experience or Master's with 7+ years.
• Strong proficiency in device modeling, physics and CMOS/process tech.
• Experience in extraction/validation of LDMOS and Bipolar models.
• Python programming for data analysis and automation is beneficial.

Responsabilidades

• Support and contribute to ongoing device modeling activities within Tata Electronics.
• Perform and support device-level characterization: DC, CV, RF, PIV.
• Conduct data quality validation and systematic data analysis.
• Execute device model extraction and QA checks prior to release.
• Contribute to methodological improvements and customer-facing support.

Conocimientos

Semiconductor Device Physics

Device Modeling

CMOS and Process Technology

LDMOS Device Models

Bipolar Device Models

Python

Educación

PhD in a related field

Master's degree in a related field

Herramientas

Parametric Analyzers

LCR Meters

Flicker Noise Measurement Systems

Descripción del empleo

Department: PDK, Design Enablement & Design Services

Job Title - Device Modeling Engineer

Job Summary

We are seeking a highly skilled Device Modeling Engineer to support and contribute to advanced semiconductor device modeling activities at Tata Electronics. The role involves device characterization, model extraction, model quality assurance, data analysis, and support for innovative modeling methodologies. The ideal candidate will possess strong expertise in semiconductor device physics, compact model development, and characterization techniques, along with excellent problem-solving and collaboration skills.

Key Responsibilities

• Support and contribute to ongoing device modeling activities within Tata Electronics.
• Perform and support device-level characterization activities, including:
• DC Characterization
• CV (Capacitance-Voltage) Measurements
• RF Measurements
• PIV Characterization
• Conduct data quality validation and perform systematic analysis of measured data.
• Execute device model extraction and perform model QA checks prior to model release.
• Contribute to methodological improvements and innovative initiatives within the device modeling team.
• Provide technical support and address customer queries related to device models.

Desired Technical Skills

Mandatory Skills

• Strong understanding of:
• Semiconductor Device Physics
• Device Modeling
• CMOS and Process Technology
• Hands-on experience in extraction and validation of:
• LDMOS Device Models
• Bipolar Device Models

Preferred Skills

• Experience with:
• Statistical Variation Modeling
• Local Mismatch Modeling
• Local Layout Effect (LLE) Modeling
• Ageing and Reliability Modeling
• Hands-on experience with DC/CV/Flicker Noise/PIV characterization using semiconductor probe stations.
• Strong knowledge of semiconductor characterization equipment, including:
• Parametric Analyzers
• LCR Meters
• Flicker Noise Measurement Systems
• Understanding of device layouts and the planning/design of modeling test structures.
• Good programming skills, preferably in Python.

Soft Skills

• Excellent communication and interpersonal skills.
• Solution-oriented mindset with strong customer focus.
• Ability to collaborate effectively across cross-functional teams.
• Strong leadership and stakeholder management capabilities.
• Analytical thinking with a passion for innovation and problem-solving.

Experience

• PhD with 5+ years of relevant industry experience, OR
• Master's Degree with 7+ years of relevant industry experience.