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Creating world-changing technology that enriches the lives of every person on earth.
The Role
Develop and deliver data analytics tools, algorithms, and methodologies to translate manufacturing data into insights for factory yield and process engineering. Apply predictive modeling, clustering, anomaly detection, time-series analysis, and ML frameworks to support engineers in semiconductor manufacturing.
Summary Generated by Built In
Job Details:Job Description: This role is an exciting opportunity to apply AI/Bigdata technology to translate manufacturing data into meaningful insights to help solve factory yield/process engineering problems. In this position, you are expected to deliver data analytics tools/algorithms/methodologies for engineers in different areas in ManufacturingQualifications:• Candidates need to hold at least a Master degree in Statistics, Machine learning, Computer Science or relevant disciplines.
• Experience using data analysis techniques like predictive modelling, pattern recognition/machine learning algorithms, clustering, dimensionality reduction, anomaly detection, time series analysis etc..
• Must have at least one data programming language/scripting experience (e.g. Python, R, JMP, etc.) and familiar with most commonly used packages, numpy/pandas/Scikit-learn/Tensorflow/Pytorch etc.
• Must be a team worker with excellent communication, presentation, and time management skills.
• Excellent technical problem solving and analysis skills, ability to quickly digest complex problems
• Experience with SQL, Hadoop, Spark is a plus
• Experience in semiconductor industry is a plus
• Demonstrated experience and ability to deliver results on multiple projects in a fast-paced, agile environment
• Excellent problem-solving and interpersonal communication skills
Job Type:College GradShift:Shift 1 (China)Primary Location: PRC, ChengduAdditional Locations:Malaysia, KulimBusiness group:Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.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 TrustN/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.Skills Required
- Master's degree in Statistics, Machine Learning, Computer Science, or relevant discipline
- Experience with predictive modeling, pattern recognition/machine learning algorithms, clustering, dimensionality reduction, anomaly detection, time series analysis
- Proficiency in at least one data programming/scripting language (e.g., Python, R, JMP)
- Familiarity with common ML/data packages (numpy, pandas, scikit-learn, TensorFlow, PyTorch)
- Excellent communication, presentation, and time management skills; team-oriented
- Excellent technical problem solving and analysis skills
- Demonstrated ability to deliver results on multiple projects in a fast-paced, agile environment
- Experience with SQL, Hadoop, Spark
- Experience in the semiconductor industry
Intel Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Intel and has not been reviewed or approved by Intel.
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Leave & Time Off Breadth — Sabbaticals and paid time off are highlighted as signature elements, with an established program offering four weeks after four years or eight weeks after seven years. This distinctive time off is positioned as a meaningful part of the overall package.
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Parental & Family Support — Paid bonding leave of 12 weeks and a New Parent Reintegration program, plus fertility benefits around $40,000 and up to $15,000 adoption reimbursement with no lifetime cap, are clearly stated. These programs are presented as standout components alongside broader family support resources.
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Healthcare Strength — Multiple medical plan options with 2026 updates, a shift to Spring Health for EAP, and in‑network virtual medical visits covered at 100% beginning in 2026 indicate a comprehensive offering. These features signal an emphasis on robust medical access and mental health support.
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The Company
What We Do
Our mission is to shape the future of technology to help create a better future for the entire world, that’s the power of Intel Inside. With more ingenuity and creativity inside, our work is at the heart of countless innovations. From major breakthroughs to things that make everyday life better— they’re all powered by Intel technology. With a career at Intel, you can help make the future more wonderful for everyone.









