Intel Foundry Advanced Device Development Engineer

Intel•Hillsboro, OR

1d•Onsite

About The Position

This position is in the Logic Technology Development team working in one of the most advanced semiconductor cleanroom facilities in the world. You will be designing, executing, and analyzing experiments necessary to meet engineering specifications for their process. We foster a collaborative, supportive, and exciting environment where the brightest minds in the world come together to achieve exceptional results. We give you opportunities to transform technology and create a better future, by delivering products that make the world a better place.

Requirements

Must possess a Ph.D. degree in Electrical Engineering, Physics, Material Science, or scientific field of study directly related to Semiconductor.
Minimum of 6 months of experience in one or more of the following: Semiconductor materials, fabrication, and device physics.
Minimum of 6 months of experience in Electrical characterization of Semiconductor Devices (transistor, diode, etc.)

Nice To Haves

Advanced Transistor Device Structures and Device Physics
Process monitoring
Test structures design and layout experience
Device and circuit simulation
Statistical Process Control (SPC) or Design of Experiments (DOE) principles and engineering analysis tools
Expertise in database structures, research methods, analytics packages (i.e., JMP, MATLAB, Octave), scripting languages (i.e., JSL, Perl, TCL), or programming languages (i.e., Python, SQL, C/C++)
Expertise in agentic AI and orchestrated LLM workflows, machine learning, deep learning, Retrieval-Augmented Generation (RAG), knowledge engineering, and dataflow pipeline architectures

Responsibilities

Set advanced device performance targets for Process Design Kit releases
Interface with Design and Foundry partners to address circuit-level issues
Assess Silicon-to-Simulation health and readiness for High Volume Manufacturing
Define robust test structures and test programs to validate advanced design rules and reliably extract key device parameters
Use Statistics, Data Mining, and other data analysis techniques to collect, explore, and extract insights from Electrical-test, yield, and fab data to define future development direction