This role is an exciting opportunity to apply AI/data 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 Manufacturing.
• The successful candidate will work closely with yield/process/Quality engineers to understand their business needs, analysis methodologies and come up with solutions to assist data-driven decisions in their daily work.
• Help users to do quick and efficient signal detection for yield or process issues, improve yield and quality and reduce cost to meet Quality/Output/Cost goals.
• Stay abreast of the latest advancements in data solution development and evaluate their applicability to the manufacturing processes and ecosystems.
Qualifications:Education: • Bachelor's degree with 5+ years of industry/post-university experience in Computer Science/Computer Engineering or a related field with solid software programming experience. OR
• Master's degree in Computer Science/Computer Engineering or a related field with 3+ years strong software programming experience. OR
• PhD with some experience in Computer Science/Computer Engineering or a related field with strong software programming experience.
Skills:• Data Analysis/Visualizations, TIBCO Spotfire (Preferred): Power BI or Tableau.Ability to create custom dashboards
• Scripting/Programming: Python or
• Web/API Integration: REST API, JSON, XML. JavaScript/Web/HTML scripting.
• Data Engineering and ETL Skills: Experience with data pipeline, data ingestion and transformation. Familiarity with Apache NiFI, Kafka or similar ETL frameworks. Shell scripting (e.g. Bash) for task automation
• Database Querying: SQL (Oracle or MS SQL or Postgres).
• Experience with NoSQL databases (MongoDB, Cassandra, HBase) is a plus
• Data Science / ML: Experience with Jupiter notebooks, MLOPs platforms and Advanced Python is a plus
• Mfg/Semiconductor process/data domain knowledge is a plus.
Job Type:Experienced HireShift:Shift 1 (India)Primary Location: India, BangaloreAdditional Locations:Business 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.Top Skills
What We Do
Intel’s mission is to shape the future of technology to help create a better future for the entire world. By pushing forward in fields like AI, analytics and cloud-to-edge technology, Intel’s work is at the heart of countless innovations. From major breakthroughs like self-driving cars and rebuilding the coral reefs, to things that make everyday life better like blockbuster effects and improved shopping experiences — they’re all powered by Intel technology. With a career at Intel, you have the opportunity to help make the future more wonderful for everyone.








