FE CPIE Transformative Staff/Senior Engineer

• Develop and deploy transformative, model‑based solutions to improve frontend yield, quality, and technology ramp performance.
• Apply virtual structure modeling, process simulation/emulation, and advanced analytics to understand sophisticated lithography‑film‑etch interactions and prescribe actionable process solutions.
• Leverage AI and data‑driven techniques to accelerate yield learning, process window characterization, and integration optimization.
• Collaborate with PIE, Process/Equipment, Metrology, and SMAI, and other cross‑functional partners to design, validate, and deploy solutions into manufacturing.
• Drive solution deployment across sites, including technology transfer and ramp support.
• Maintain strong engagement in research and development, continuously evaluating emerging modeling, simulation, and AI methodologies for semiconductor manufacturing.
• Contribute to knowledge sharing, technical mentoring, and capability building within the FE engineering community.

Requirements / Qualifications

• Education

  • Master’s or PhD in Electrical Engineering, Computer Engineering, Industrial & Systems Engineering, Mechanical Engineering, Chemical Engineering, Materials Engineering, Applied Statistics, Applied Mathematics, Operations Research, or other relevant engineering/science fields.

• Experience

  • More than 5 years of working experience in the semiconductor industry.
  • In‑depth knowledge of semiconductor frontend processes, integration, design, and testing.

• Technical Skills

  • Proficiency in design of experiments, advanced data analytics, and data visualization.
  • Experience with modeling, simulation, or emulation applied to manufacturing problems; experience with TCAD and structural (virtual structure) modeling is preferred, along with process simulation or emulation.
  • Hands‑on skills in scientific programming languages such as Python, MATLAB, or R are a strong plus.

• Professional Skills

  • Excellent oral and written communication skills.
  • Ability to work independently or effectively within cross‑functional teams.
  • Strong organizational skills with the ability to plan, prioritize, and execute.
  • Self‑motivated with a strong willingness for continuous improvement and innovation.

• Other

  • Flexibility to travel to sites to support solution deployment.

AI Relevant Job Responsibilities:  

- Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements. 

- Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.  

- Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business