Intel

FSM Global Yield BEOL Senior Process Integration Development Engineer

Taiwan
Machine Learning
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Description

Job Details:

Job Description: 

Fab Sort Manufacturing (FSM) is responsible for the production of all Intel silicon using some of the world's most advanced manufacturing processes in fabs in Arizona, Ireland, Israel, Oregon and 2 new greenfield sites in Ohio and Germany. As part of Intel's IDM2.0 strategy, FSM is rapidly expanding its operation to deliver output for both internal and foundry customers with state-of-the-art technologies arriving in high-volume manufacturing (HVM) at a 2-year cadence going forward. Intel recently created HVM Global Yield organization in FSM to strengthen its yield operation and enable fast-paced yield ramp-up in early HVM phases for each technology in collaboration with Technology Development team and FSM fab managers.

This job requisition is to seek Sr BEOL (Back-End-Of-Line) Process Integration Development engineers for our FSM HVM Global Yield organization, reporting to BEOL Process Integration manager. Selected candidates will work with other members in BEOL integration, other teams in Global Yield org, fab module, yield, and TD team members to achieve yield ramp-up and process optimization in early production stage, supporting internal and external customers.

BEOL (Back-End-Of-Line) Senior Process Integration Development engineers' responsibilities include (but not limited to):

  • Own engineering projects to execute HVM yield roadmap, device targeting and attain performance targets.
  • Collaborate with Technology Development and Local Yield teams to import new technology to production fabs.
  • Work with FEOL/BEOL Integration, Device, Defect Reduction and Yield Analysis team members to identify root cause of yield/performance issues and implement mitigation plan in defined timeline to meet committed production yield/performance targets and to support fast paced yield ramp-up in high-volume manufacturing phases.
  • Perform feasibility studies, plan and conduct experiments to fully characterize the process throughout the development cycle and to improve performance for each specific product.Own NPI (New Product Introduction) in production fabs and perform product-specific process optimizations to meet foundry customers specifications and requirements.
  • Own engineering projects in partnership with Local Yield teams to improve product yield, quality, device performance and to reduce wafer cost/improve fab efficiency.
  • Engineering support for technical interactions with internal and external customers.

#foundry

Important:  Please be informed that Intel is proactively trying to find candidates for a foundry engineering position which is frequently available at Intel US.  Please note that the position may not be available at this time.  If you would be interested in this position should it become available, we would encourage you to apply, and our hiring team will be glad to contact you when/if relevant. 

Qualifications:

Minimum Qualifications

  • Engineering, Physics, Chemistry or Materials Science or any STEM related field.Electrical/ElectronicBS degree in one of the following disciplines;
  • 6-8 years of experience in advanced node semiconductor industry in BEOL Process Integration (preferably with experience in SADP/SAQP, advanced metallization, immersion lithography/EUV).
  • Working level understanding of Device Physics and backend critical parameter control.
  • Basic understanding and collaboration experience with processes including lithography, dry etch, wet etch, CMP, diffusion, implant, thin films and metrology.

Preferred Qualifications:

  • Advanced (Masters/PhD) degree in one of the following disciplines with at least; Electrical/Electronic Engineering, Physics, Chemistry or Materials Science or any STEM related field.
  • 4 years of experience in Statistics and machine learning preferred Experience in project/program management and/or Task Force Team lead.
  • Ability to extract and analyse key parametric data related to BEOL semi-conductor processing. Capable of basic automation of routine data extracts.
  • Experience in Statistics and machine learning preferred

          

Job Type:

Shift:

Shift 1 (Taiwan)

Primary Location: 

Taiwan, Hsinchu

Additional Locations:

Business group:

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.
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