TCAD EDA Engineer

Job Summary:

onsemi is seeking a self-driven and motivated professional to join the Engineering EDA TCAD team, focusing on TCAD modeling and tools support for design and product engineering.  EDA TCAD is undergoing an exciting evolution, incorporating AI agents to improve work efficiency.  The EDA team at onsemi is improving work efficiency using AI technologies as one of its primary goals. 

Candidate will have the opportunity to:

• Succeed in a fast-paced environment, measured by execution and quality metrics to deliver high quality EDA tools.


• Improve EDA TCAD applications to support the device design, product and applications engineering communities.


• Work with EDA vendors to influence product capability and roadmaps, including agentic AI to improve design efficiency.


• Develop and release agentic AI tools to the design environment to improve workflow efficiency enabled by EDA off the shelf tools or internally developed.


• Work across a broad range of silicon and wide bandgap semiconductor technologies, products and applications.


• Publish and file patents in the areas of EDA tools and agentic AI.

Primary responsibilities

• Resolve TCAD support tickets by assisting the device design, product and applications communities with model setup, convergence, calibration, etc.


• Periodic review of EDA vendor product roadmaps to keep abreast of developments, releases, upgrades and to influence timing to support onsemi’s requirements.


• Projects to support enhancements of EDA tools, including: AI agents, regression and optimization, intelligent workflow automation.


• Expanding skillset through on-line and on the job training to learn and apply new tools.

• Masters or PhD in EE, micro-electronic design or device engineering
  
  
  
  • Course work or experience in data analytics and machine learning is also required
  
  


• At least 5 years of professional experience in TCAD device development or EDA applications
  
  
  
  • Experience in ML model generation and AI agents, co-optimization of multiple variables using regression techniques is preferred
  
  


• Working knowledge of Synopsys or Silvaco TCAD tools
  
  
  
  • Experience with Synopsys (formerly Ansys) modeling and simulation tools, for example, Mechanical, Maxwell, Icepak is a bonus
  
  


• Working knowledge of silicon and wide bandgap semiconductor device physics, architectures and materials