Ocotillo Technology Fabrication Yield Device Engineer
Job in
Chandler, Maricopa County, Arizona, 85249, USA
Listing for:
100 Intel Corporation
Full Time
position
Listed on 2026-11-08
Job specializations:
-
Engineering
Quality Engineering, Process Engineer, Manufacturing Engineer
Job Description & How to Apply Below
As a Device Integration Engineer, your responsibilities may include but are not limited to:
Responsibilities- Driving the factory to produce transistor and discrete electronic devices that perform according to strictly defined specifications.
- Collaborating with Module, Integration, and Yield engineers to perform process modifications to produce material that meets quality, reliability, cost, yield, and performance requirements.
- Strictly controlling the initial quality metrics at the end-of-line (EOL) in order to screen and disposition material prior to sort and class testing.
- Extensive analyses are performed in order to determine specific root causes of discrepant device performance.
- Continuously improving quality, reliability, cost, and yield using a feedback loop through Integration and Module engineers to address targeting, variability reduction, and containment of poorly performing line segments
- Developing solutions to challenging technical problems utilizing a combination of fundamental knowledge of solid-state physics, statistics, and formal problem-solving methodologies.
- Independently identifying improvement opportunities and driving implementation
- Summarizing complex problems using formal problem-solving strategies and communicating technical reasoning, project timelines, and help needed to senior leaders
- Engaging with senior leaders from multiple teams, such as product engineers, assembly test engineers, and technology development engineers to understand and implement process improvement opportunities.
- Highly motivated with leadership qualities
- Strong interpersonal skills with understanding of how to work with others to accomplish organizational goals
- A collaborative and inclusionary mindset
- Highly developed written and verbal communication abilities to influence a wide variety of groups at all levels of the organization
- Excellent organizational skills with a strong attention to detail
- Experience with setting goals and achieving them on schedule
- High tolerance of ambiguity in a rapidly changing, fast-paced work environment with the ability to quickly adjust priorities as necessary
- Ability to develop creative solutions to challenging problems
- Candidate must be able to effectively run meetings at all levels of the organization in order to effectively solve problems as a team and communicate progress to senior leaders
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your school/ work/ classes/ research and/or current job role within the semiconductor manufacturing environment.
Minimum Requirements- Bachelor's of Science in Electrical Engineering, Physics, Material Science, or related STEM field AND 2+ years relevant experience in the semiconductor industry.
- Master’s of Science in Electrical Engineering, Physics, Material Science, or related STEM field
- A comprehensive understanding of device physics, semiconductor processing, familiarity with failure analysis techniques, basic coding/scripting ability in JSL/SAS/Python, experience in data extraction, statistical process control, statistical data analysis and interpretation, familiarity with statistical software packages such as JMP or Minitab, and familiarity with DOE techniques
- Familiarity with latest machine learning tools applied to process and device analysis to accelerate root cause determination
- Experience in semiconductor process integration, yield engineering, process development, or technology development.
- Strong understanding of FEOL and/or BEOL manufacturing processes.
- Demonstrated experience in project execution, including design of experiments (DOE) and process improvement, in areas of yield improvement, defect reduction, or process capability enhancements in a production environment.
- Proficiency in statistical analysis methods including DOE, SPC, Cp/Cpk analysis, and root-cause methodologies.
- Experience supporting technology qualification, manufacturing ramp, and high-volume production.
- Demonstrated ability to lead complex technical projects across multiple engineering disciplines.
Experienced Hire
Shift: Shift 1 (United States of America) Primary
Location:
US, Arizona, Phoenix Additional Locations:
All qualified applicants will receive consideration for employment without…
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