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
Noise Characterization
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
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Hands-on experience in extraction and validation of:
MOSFET Device Models
LDMOS Device Models
Bipolar Device Models
Passive Device Models
Preferred Skills
- Experience with:
Statistical Variation Modeling
Global Monte Carlo Analysis
Local Mismatch Modeling
1/f (Flicker) Noise Modeling
Random Telegraph Noise (RTN) 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.
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
Noise Characterization
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:
MOSFET Device Models
LDMOS Device Models
Bipolar Device Models
Passive Device Models
Preferred Skills
- Experience with:
Statistical Variation Modeling
Global Monte Carlo Analysis
Local Mismatch Modeling
1/f (Flicker) Noise Modeling
Random Telegraph Noise (RTN) 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.
