About The Position

Join Intel and build a better tomorrow. Manufacturing Development Customer Engineering (MDCE) is Intel's newest organization within Intel Foundry Technology Manufacturing (FTM). We bridge the critical gap between Technology Development (TD) and High Volume Manufacturing (HVM), advancing technology nodes from initial product qualification to high-yield production across multiple products while enhancing technologies for our foundry customers. MDCE is also chartered to develop new technologies on mature node infrastructure to bring new solutions to new customers at reliable yield and performance and low cost, and this is where you are going to play a role.

Requirements

  • Master's degree in Electrical Engineering, Physics, Chemistry, Materials Science, or in a STEM related field of study
  • 5+ years of semiconductor industry experience with specific focus on Process Integration development and customization
  • Experience in large-volume manufacturing environments with deep understanding of manufacturing processes and platforms
  • Expertise in device physics and/or interconnects and critical parameter control
  • Experience in big data analysis for identifying and resolving process and manufacturing challenges

Nice To Haves

  • Ph.D. in Electrical Engineering, Physics, Chemistry, Materials Science, or in a STEM related field of study
  • Experience in project/program management and cross-functional team leadership
  • Experience in new semiconductor technology development and FEOL/BEOL process optimization
  • Exposure to foundry ecosystem operations and customer requirements
  • Experience in yield improvement initiatives and high-volume manufacturing optimization
  • Background in power-performance optimization strategy
  • Experience in fabrication process engineering including: (lithography and advanced patterning, dry etch processes, wet cleaning technologies, diffusion processes, thin-film deposition, and chemical mechanical planarization (CMP)
  • Semiconductor foundry experience

Responsibilities

  • Lead data-driven identification, prioritization, and resolution of process integration challenges through advanced signal mining, variability analysis, and root-cause investigation.
  • Partner with integration, process engineering, and manufacturing teams to design and deploy scalable data analytics infrastructure that enables world-class inline monitoring, process control, and rapid excursion detection.
  • Develop advanced variability tracking and chamber/tool matching methodologies to detect systematic process variation, reduce tool-to-tool differences, and improve manufacturing stability.
  • Build and maintain automated databases, reporting systems, and analysis workflows that support high-volume manufacturing decision-making, predictive analytics, and machine-learning-based process optimization.

Benefits

  • competitive pay
  • stock bonuses
  • health
  • retirement
  • vacation
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