As a Smart Manufacturing I4.0 Analyst at Micron Technology, Inc., you will enable new frontier technology for Smart manufacturing to define, drive and deliver end to end smart manufacturing solution, integrated across functions of the business. The team will look into applying industry-leading methodologies in automation, AI and machine learning to enhance Micron’s product development, business and administrative processes across the company.
Responsibilities and Tasks
Partner with Test, Product & Quality group to drive AI transformation in Micron, enabling new insights and innovative solutions for Technology acceleration. Conceptualize, Prototype and productize innovative solutions using artificial intelligence, big data to improve/revolutionize Micron manufacturing performance in product yield, quality, test coverage and system level performance.
Participate/Lead End-to-End project teams comprising of Data Scientists, Industry 4.0 analysts, Solution Architects & Data Engineers.
Provide domain insights into available data, identify gaps in existing data set, collaborate with data scientists to apply various AI techniques in providing technical solutions.
Be the expert in Micron data sources, translate project requirements to specific available data sources, specify new requirements to Data Architects and Data Engr in Technical solutions team.
Work with solution end users to analyze related information to design & define requirements.
Provide expert functional and process guidance on system interface and capabilities.
Develop business case, including impact validation approach, ROI of potential solutions, propose & prioritize projects for implementation.
Requirement
Bachelor’s / Master’s degree in, Computer Science, Information Systems, Engineering or related field
Passion in AI and Smart Manufacturing solutions. Experience in delivering system solutions to assembly & test and product knowledge of DRAM & NAND would be advantageous.
Exceptional analytical and conceptual thinking skills.
Excellent Communication skills.
Excellent planning, organizational, and time management skills.
Prior knowledge in data science is preferred but not a pre-requisite.
Results oriented, with a growth mindset and strong dedication to identify and implement improvement opportunities.
Ability to build strong interpersonal relationships, influence and manage stakeholders.
