Foundry Advanced Device Development Engineer
Intel
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- Circuit designStatisticsData analysisPythonC++C
- Work
- On-site in Hillsboro
- Pay
- Not stated by the employer.
- Skill demand
- Circuit design30%Python28%Statistics18%Data analysis13%of 100 similar entry-level jobs posted in the US this week
- Listed
- Nov 3, 2026 · still open
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About the Role
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.
Key Responsibilities
- Leading scientific research enabling the manufacture of innovative device architectures.
- Setting advanced device performance targets for Process Design Kit releases.
- Interfacing with Design and Foundry partners to address circuit-level issues.
- Assessing Silicon-to-Simulation health and readiness for High Volume Manufacturing.
- Defining robust test structures and test programs to validate advanced design rules and reliably extract key device parameters.
- Using 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.
Requirements & Tech Stack
- Ph.D. degree in Electrical Engineering, Physics, Material Science, or a 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.
- Electrical characterization of Semiconductor Devices (transistor, diode, etc.).
Preferred Qualifications
- 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.
This experience can be obtained through schoolwork/classes/experimental research and/or relevant previous job and/or internship experiences.
Work Model
This role will require an on-site presence.