Device Modelling Engineer

Job requirements

• Bachelor's, Master's, or PhD in Physics, Electrical Engineering, Materials Science, Applied Mathematics, Engineering Physics, or a related technical discipline.

• Strong analytical and problem-solving skills with the ability to tackle complex technical challenges.

• Foundational knowledge of semiconductor physics and devices, including: Charge transport Electrostatics Semiconductor device operation Semiconductor process technologies

• Charge transport

• Electrostatics

• Semiconductor device operation

• Semiconductor process technologies

• Experience using at least one advanced simulation, modelling, or numerical computing environment such as: TCAD Finite Element Analysis (FEA) tools Electromagnetic simulation tools Python MATLAB Equivalent modelling platforms

• TCAD

• Finite Element Analysis (FEA) tools

• Electromagnetic simulation tools

• Python

• MATLAB

• Equivalent modelling platforms

• Experience developing scripts, automating workflows, and analyzing large datasets.

• Understanding of numerical methods, computational modelling techniques, and physical simulation principles.

• Strong written and verbal communication skills with the ability to explain complex technical concepts to diverse audiences.

• Demonstrated contribution to a significant modelling or simulation project in industry, academic research, or postgraduate studies.

• Experience validating computational models against experimental measurements.

• Exposure to semiconductor devices, microelectronics, nanotechnology, materials science, or related engineering disciplines.

• Familiarity with multidisciplinary hardware development environments.

• Experience working within R&D organizations focused on emerging technologies.

Job responsibilities

• Develop, maintain, and improve simulation workflows for semiconductor devices and process technologies.

• Perform electrostatic, transport, and physics-based modelling of nanoscale semiconductor devices.

• Evaluate design trade-offs, variability mechanisms, and sensitivity to process changes.

• Analyze simulation and experimental datasets to identify key performance drivers and engineering opportunities.

• Validate simulation predictions against measured device performance and refine models accordingly.

• Collaborate with multidisciplinary teams to support technology development, device optimization, and product roadmaps.

• Present technical findings and recommendations to engineering and scientific stakeholders.

• Contribute to the continuous improvement of modelling methodologies, tools, and automation frameworks.

Job benefits

• Competitive salary of USD $130,000 - $160,000, based on skills, experience, and qualifications.

• Equity participation opportunity.

• Comprehensive health, dental, and vision benefits.

• Retirement savings program.

• Flexible work arrangements where business needs permit.

• Professional development and learning opportunities.

• The chance to work alongside world-class engineers, physicists, and researchers building transformative technology.