About this role
We are seeking a highly innovative and technically strong Senior Engineer to drive the next generation of virtual product development methodologies for advanced power semiconductor packages. This position combines multiphysics simulation, machine learning, digital engineering, and design optimization to accelerate the development of SiC and GaN power modules.
The successful candidate will lead the development of AI-enhanced simulation workflows, surrogate modeling methodologies, digital twins, and automated design environments that enable faster, more reliable, and physics-informed product development. Working across global R&D teams, the candidate will establish novel approaches that combine first-principles engineering models with machine learning and optimization techniques.
Required Qualifications
- M.S. or Ph.D. in Electrical Engineering, Mechanical Engineering, Physics, Computational Engineering, Computer Science, or a related field.
- Minimum 3 years of industrial or advanced research experience in simulation-driven product development.
- Strong expertise in multiphysics simulation and numerical methods.
- Experience with one or more simulation platforms like Ansys
- Strong programming skills in Python.
- Experience with machine learning and data-driven engineering methodologies.
- Strong communication and collaboration skills in an international environment.
Preferred Qualifications
- Experience in:
Power Electronics Packaging
- SiC and GaN Technologies
- Virtual Product Development
- Digital Twins
- Reliability & Lifetime Prediction
- Record of technical innovation demonstrated through patents, publications, software development, or industrial deployments.