Intel Foundry Advanced Device Development Engineer

Intel Intel · Semiconductors · Taipei, Taiwan

Develops and optimizes semiconductor manufacturing processes for advanced transistor technology, involving experiment design, data analysis, and collaboration with various engineering teams. Requires expertise in semiconductor materials, fabrication, and device physics.

What you'd actually do

  1. Manage the LTD core process development team on design, execution, and analysis of experiments aimed at the creation and optimization of leading-edge silicon transistor technology.
  2. Lead a team of device and process engineers to develop a high-volume capable process technology that meets performance, yield, and reliability requirements for both internal and foundry products.
  3. 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.
  4. 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.
  5. Collaborate closely with LTD foundry technology engineering group to ensure the customer achieve leadership product performance and derive maximum value from Intel's advanced manufacturing technologies.

Skills

Required

  • Master's degree (preferably Ph.D.) in electrical engineering, electrical and computer engineering, or electrical engineering and computer science related to Semiconductor field
  • 10+ years of experience in advanced node semiconductor industry
  • Semiconductor materials, fabrication, and device physics
  • Electrical characterization of Semiconductor Devices (transistor, diode, etc.)

Nice to have

  • 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., Python, JSL, Perl, TCL), or programming languages (i.e., SQL, C/C++)

What the JD emphasized

  • advanced node semiconductor industry
  • Semiconductor materials, fabrication, and device physics
  • Electrical characterization of Semiconductor Devices