Micron Technology is looking to analyze and extract valuable insights from large datasets related to semiconductor manufacturing, process optimization, and quality control to enhance product performance, yield, and reliability.
Requirements
- Proficient in Python, with strong knowledge of machine learning algorithms and statistical techniques.
- Familiarity with web applications and reporting.
- Experience with SQL and database management.
- Project experience in AGILE, Waterfall, Scrum, Software Development Lifecycle, JIRA, Change management, Release management, and Configuration management.
- ML frameworks: Decision trees, Clustering, Regression, Neural Networks, NLP, Pytorch, Big data, Tensorflow, Pandas, Streamlit
- Tools and technologies: Docker, Containerization, Kubernetes, Jenkins, Ansible, Elasticsearch, SSL, Microservices, data visualization tools (e.g., Streamlit, Tableau, PowerBI, etc.).
- Cloud expertise: Google Cloud Platform, OpenShift Container Platform
Responsibilities
- Perform exploratory data analysis (EDA) on semiconductor manufacturing data, including wafer fabrication, yield, and defect rates.
- Identify anomalies and outliers in semiconductor production data, suggesting corrective actions to improve yield.
- Develop predictive models using machine learning techniques (such as regression, classification, and clustering) to optimize manufacturing processes and improve product quality.
- Extract relevant features from raw data, considering factors like material properties, process parameters, and environmental conditions.
- Create clear and informative visualizations to communicate findings and insights to stakeholders.
- Work with enablement sensor data collection from edge devices as well as management of data pipelines.
- Work closely with engineers, physicists, and domain experts to understand semiconductor processes and translate business requirements into data-driven solutions
Other
- Master’s or Ph.D. with a thesis in Engineering, Computer Science, Data Science or related field.
- 3 plus years in semiconductor manufacturing or artificial intelligence
- Ability to conduct and/or attend meetings when needed in the evening.
- Excellent communication skills to collaborate with cross-functional teams.
- Adaptability and willingness to learn new technologies and methodologies.
