Yield Engineer - Hybrid Onsite in Advanced Packaging

Downtown Boulder Partnership; Edgewood (NM); Hybrid; USD 83,077 - 124,371; Full time

Benefits offered by this job

Hybrid work model

Competitive compensation

Job summary

Intel NM DMO Yield Department seeks engineers to support interconnect and advanced packaging semiconductor fabrication across Fab 11X and Fab 9, including Foveros, EMIB, Die Prep, and Wafer Level Assembly. You will lead experiments, data analysis, and cross-organizational initiatives to optimize processes and yield while improving cost and manufacturability.

Requires problem-solving skills, strong data analysis, and experience in process control.

Qualifications

• Must have a Bachelor's or a Master's degree in chemical engineering, Electrical Engineering, Mechanical Engineering, Material Science, Microelectronics Engineering, Chemistry, Physics or related field.
• This position is not eligible for Intel immigration sponsorship.

Responsibilities

• Plan and conduct experiments and data analysis to optimize and characterize new fabrication processes and understand sources of variation within the fab.
• Control technology change introduction, monitor in line defect and parametric performance and end of line die yields, find root cause for processing excursions and navigate fixes.
• Ensure products are capable of high volume manufacturing while driving improvements to quality, reliability, cost, yield, productivity and manufacturability.

Skills

Creative thinking

Data analysis

Inline detection

Project management

Process control monitoring

Quality event response

Education

Bachelor's degree

Master's degree

Chemical Engineering

Electrical Engineering

Mechanical Engineering

Tools

JMP

SQL

PCS

Job description

Intel NM DMO Yield Department seeks engineers to support interconnect and advanced packaging semiconductor fabrication across Fab 11X and Fab 9, including Foveros, EMIB, Die Prep, and Wafer Level Assembly. You will lead experiments, data analysis, and cross-organizational initiatives to optimize processes and yield while improving cost and manufacturability.

Requires problem-solving skills, strong data analysis, and experience in process control.