About the role
Job Details: Job Description: This role requires regular onsite presence to fulfill essential job
responsibilities. Defines roadmaps to meet
requirements, goals and milestones for incoming technology transfer. Defines and establishes flow, procedures, and equipment configuration for the module. Extracts insights from structured and unstructured data by quickly synthesizing large volumes of data, and applying statistics and machine learning, and may using coding techniques (e.g. SQL, python, etc.) primarily, but could also include programming languages (i.e. .net). Owns sustaining and continuous improvement of quality and integrated defect and parametric measurements in startup and high volume manufacturing environment. Drives low yield analysis and yield improvement activities with both internal and external stakeholders. Ensures continuous improvement programs are in place to prevent quality, line yield, and sort yield excursions. Performs quality and reliability risk assessments for potentially discrepant manufacturing material as well as for process changes.
Qualifications: Basic
Qualifications: Must have a Bachelor, or MS in Mechanical/Electrical/Electronic Engineering, Computer Science, Information System or Chemistry/Physics and at least 5 years of Assembly and Test or semiconductor processing experience. Experience with writing scripts for data extraction and analysis (SQL, Perl, JSL, python, etc.). Self motivated and self directed to learn and find sources of knowledge and information required to perform work. Must have demonstrated track-record of proficiency in working in a high-performing team culture which includes excellent teamwork and leadership skills, excellent written and verbal communication skills, demonstrated problem solving and the ability to prioritize work in an ambiguous environment. Preferred
Qualifications: Candidate demonstrates effective problem solving first and data script writing second. Must be seen as a technical expert who is results and process/systems oriented, has proven ability for critical thinking and second order questions that lead to impactful solutions. Experience with using Model based problem solving and data analytics to solve integrated Yield issues. In depth knowledge of assembly data from process and metrology tools and experience extracting and analyzing this data. Experience with Yield prediction methodologies, understanding design for yield principles. Job Type: Experienced Hire Shift: Shift 1 (Malaysia) Primary Location: Malaysia, Penang Additional Locations: 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 require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change. * ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter. Intel’s official careers website. Find your next job and take on projects that shape tomorrow’s technology.