Intel Foundry Advanced Device Development Engineering Manager

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About This Role

  • 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.

Qualifications

  • 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.

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.

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