Job Details:

Job Description: 

• Responsible for driving yield improvement and meet performance targets.

• Implement AI capabilities for improving product yield.

• Perform yield debug and incorporate auto rejects validation capabilities to identify and address root cause yield signals.

• Conduct comprehensive Big Data analysis to identify parametric dependencies and commonalities, facilitating yield improvement activities.

• Ensure the testability and manufacturability of integrated circuits from conception to production ramp-up.

• Contribute significantly to the product development and units test validation.

• Develop, debug, and optimize complex test methods.

• Develop scripts or software programs to enhance post-processing data analysis techniques.

• Design and validate hardware solutions for validation and production testing.

• Evaluate component specifications against performance metrics to align requirements with production equipment capabilities, focusing on yield analysis.

• Analyse early customer returns to identify root causes and drive closure of testing gaps.

• Develop and apply strategies to optimize component production considering both quality and cost constraints.

• Independently plan, schedule, and solve problems using engineering technical knowledge and judgment.

Qualifications:

Bachelor Degree or Master Degree in AI Data Science Engineering/ Electrical Electronics Engineering/ Computer Science or any relevant qualification.

          

Job Type:

Intel Contract Employee

Shift:

Shift 1 (Malaysia)

Primary Location: 

Malaysia, Penang

Additional Locations:

Business group:

Manufacturing and Product Engineering (MPE) is responsible for test development across product segments, supporting 95% of Intel's revenue. We deliver comprehensive pre-production test suites and component/physical debug capabilities to enable high quality, high volume manufacturing.

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. * Job posting details (such as work model, location or time type) are subject to change.