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Principal Product Modelling Engineer
ManchesterSource: WhatJobs
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Overview
As Principal Modelling Engineer, you will develop and advance semiconductor device models for next-generation power technologies. You will collaborate with cross-functional teams to improve device performance prediction and optimization. You’ll lead model calibration against silicon data and contribute to modelling flows, automation, and best practices. The role offers the chance to shape modelling methodology and publish or patent resulting innovations in a global, technology-driven environment.
Pay / Benefits
competitive compensation and benefits package
career development within a global company
opportunity to work on industry-leading technologies
collaboration with internationally recognized experts
global role and career mobility
inclusive workplace support and opportunities
Responsibilities
Develop and maintain advanced device models for power MOSFET and emerging technologies
Build compact device models from characterization and simulation data
Perform simulations to understand electrical, thermal and reliability behaviour
Drive model calibration, validation and correlation with measured silicon data
Collaborate with technology development to support new process generations and device architectures
Analyse device performance, switching behavior and loss mechanisms
Support Design Enablement through accurate modelling methodologies
Contribute to modelling flows, automation frameworks and best practices
Work with cross-functional R&D teams to evaluate design trade-offs and optimize performance
Mentor junior engineers and provide technical leadership in modelling projects
Present technical findings to stakeholders and contribute to publications, patents, and conferences
Key requirements
Extensive experience in semiconductor device modelling and simulation
Strong understanding of semiconductor device physics and power semiconductor technologies
Experience in compact model development and parameter extraction methodologies
Strong programming and data analysis skills (Python, MATLAB or equivalent)
Experience correlating simulation results with experimental characterization data
Knowledge of system-level simulation techniques and model validation
Ability to work effectively within multidisciplinary R&D environments
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