About the Team
Logic Technology Development (LTD) develops and delivers Intel's leading-edge silicon process technologies for both Intel products and Intel Foundry customers. LTD is responsible for creating process technologies that meet targets for performance, power, area, yield, reliability, cost, and schedule while ensuring they can be successfully transferred into high-volume manufacturing.
About the Role
This position is in the Logic Technology Development (LTD) 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.
The Advanced Device Development Engineering Manager is responsible for leading scientific research device group enabling the manufacture of innovative device architectures
Key Responsibilities:
- Lead a team of device engineers to develop a high-volume capable process technology that meets performance, yield, and reliability requirements for both internal and foundry products. This includes both physical and electrical data analysis, as well as extensive interaction with other technology development teams (integration, module, design/modeling and reliability)
- Set priorities of a team embedded in programs targeted for foundry offerings to get results across boundaries, ensure an inclusive work environment, develop employee careers and manage team performance.
- Work closely with LTD core program integration and device organization to ensure the high-quality Process-Design Kit (PDK) is delivered to design enablement team. It includes extensive Silicon-to-Simulation (or model-hardware correlation) analysis/target projection, layout effect validation and electrical monitors to product parametric correlation.
- Collaborate closely with LTD foundry technology engineering group to ensure the customer achieves leadership product performance and derives maximum value from Intel's advanced manufacturing technologies.
- 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.
Required Skills and Experience
- Experience in advanced node semiconductor industry in one or more of the following:
- Semiconductor materials
- Fabrication
- Device physics
- Electrical characterization of Semiconductor Devices (transistor, diode, etc.)
Preferred Skills and Experience
- 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, machine learning, 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.
- Degree in Electrical Engineering, Physics, Material Science, or scientific field of study directly related to Semiconductor.
- Ph.D. with 10+ years of experience in advanced node semiconductor industry OR Masters with 15+ of experience.
Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Oregon, HillsboroAdditional Locations:US, California, Folsom, US, California, San Diego, US, California, Santa ClaraPosting 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.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.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 which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $224,970.00-317,600.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
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. * Job posting details (such as work model, location or time type) are subject to change.*
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.Skills Required
- Degree in Electrical Engineering, Physics, Materials Science, or a directly related scientific semiconductor field
- Ph.D. and 10 or more years of experience in the advanced-node semiconductor industry
- Alternatively, a Master's degree and 15 or more years of experience in the advanced-node semiconductor industry
- Advanced-node semiconductor industry experience in semiconductor materials, fabrication, device physics, or electrical characterization of semiconductor devices
- Advanced transistor device structures and device physics experience
- Process-monitoring test structure design and layout experience
- Device and circuit simulation experience
- Statistical Process Control or Design of Experiments principles and engineering analysis tools
- Expertise in database structures, research methods, machine learning, analytics packages, scripting languages, or programming languages
- Expertise in agentic AI, orchestrated LLM workflows, machine learning, deep learning, Retrieval-Augmented Generation, knowledge engineering, and dataflow pipeline architectures
Intel Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Intel and has not been reviewed or approved by Intel.
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Leave & Time Off Breadth — Sabbaticals and paid time off are highlighted as signature elements, with an established program offering four weeks after four years or eight weeks after seven years. This distinctive time off is positioned as a meaningful part of the overall package.
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Parental & Family Support — Paid bonding leave of 12 weeks and a New Parent Reintegration program, plus fertility benefits around $40,000 and up to $15,000 adoption reimbursement with no lifetime cap, are clearly stated. These programs are presented as standout components alongside broader family support resources.
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Healthcare Strength — Multiple medical plan options with 2026 updates, a shift to Spring Health for EAP, and in‑network virtual medical visits covered at 100% beginning in 2026 indicate a comprehensive offering. These features signal an emphasis on robust medical access and mental health support.
Intel Insights
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