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Foundry Technology Pathfinding TCAD Modeling Engineer

Hsinchu, Taiwan Job ID JR0225326 Job Category Engineering Work Mode Hybrid Experience Level Experienced
Job Description
  • In this role, you will have the opportunity to work on leading edge and define future technology nodes.
  • A typical project may combine more than one of the following (not limited to the ones listed below):
    * Device: Advanced device transport, quantum effects, stress effects, self-heating, defect-related phenomenon, electronic structure, novel device and memory operation, optoelectronics, mesh generation
    * Process: Modeling for implantation, diffusion, annealing, etch, deposition, epi growth, oxidation, defects, mechanical stress, Kinetic MC simulations, mesh generation
    * Materials: Modeling of resistivity for front-end or back-end of line materials and processes; leakage, to name a few
    * Benchmark circuits: Mixed-mode TCAD and SPICE simulations of typical benchmark circuits for PPA analysis
    * Compact Model: Compact model development and parameter extraction


Responsibilities include, but are not limited to:
- Lead and perform device research on advanced CMOS devices and emerging devices for logic and memory applications
- Develop new insights to improve PPAC in emerging monolithic technologies and heterogeneous system integration technologies
- Develop new TCAD simulation methodologies for future technology exploration

A successful candidate will demonstrate:
- Deep knowledge of semiconductor device physics
- Deep knowledge and hands-on experience in process and device simulations, process emulation, parasitic RC extraction using TCAD tools
- Hands-on experience in device and circuit level PPA assessment for advanced CMOS and beyond CMOS technologies
- Proficient in programming and scripting languages like Python, Perl / TCL, or similar languages
- Good problem solving and communication skills


Qualifications

Minimum Qualifications
- BS or MS or PhD in Electrical Engineering, Physics, or related fields

Preferred Qualifications
- Foundry experience on advanced nodes is preferred
- Experience with compact models and extraction for transistors, MTJ, ReRAM etc. is preferred
- Familiar with emerging technology trends and competitive landscape for both monolithic and heterogeneous integration technologies
- Experience in machine learning / reinforced learning / artificial intelligence aided physical design is a plus


Inside this Business Group
Intel's Sales and Marketing (SMG) organization works with global customers and partners to solve critical business problems with Intel based technology solutions. SMG works across business units to amplify the customer voice and deliver solutions that accelerate their business. We work across numerous industries, including retail, enterprise and government, cloud services and healthcare as examples. The operations team focuses on forecasting, driving alignment with factory production and delivering efficiency tools and our marketing capability drives demand and localized marketing in locations around the globe. Our sales force navigates a complex partner and customer ecosystem while shaping product roadmaps, driving value for our customers, and collaborating to harness emerging technology trends to deliver comprehensive solutions.


Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, and benefit programs. Find more information about our Amazing Benefits here: https://www.intel.com/content/www/us/en/jobs/benefits.html

Working Model
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.
Maggie, Offensive Security Researcher

Maggie Offensive Security Researcher

“I’ve always wanted to do something that changes the world — at Intel, I feel appreciated, and I’ve gained more confidence in myself. It makes me feel like I’m capable of doing great things.”

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