Texas Instruments is seeking to drive digital transformation initiatives through the development and implementation of AI-powered solutions to improve manufacturing quality, yield, process efficiency, automation, predictive maintenance capabilities, and automated anomaly detection.
Requirements
- Strong programming skills in Python, R, or similar languages
- Experience developing statistical methodologies, statistical data analysis or machine learning
- Experience with modern ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Experience in software development and automation
- Familiar with using modern AI for development
- Experience working in Data Analysis / Data Science / Software Development
- Bachelor’s Degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science, Statistics or other related engineering degree
Responsibilities
- Develop and deploy AI/ML solutions to improve manufacturing quality and yield
- Develop and deploy AI/ML solutions to improve process efficiency and automation
- Develop and deploy AI/ML solutions to improve predictive maintenance capabilities
- Develop and deploy AI/ML solutions to improve automated anomaly detection
- Create and maintain intelligent systems for data analysis and pattern recognition
- Create and maintain intelligent systems for real-time process monitoring
- Lead integration of solutions with existing manufacturing systems
Other
- Bachelor’s Degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science, Statistics or other related engineering degree
- 3 years’ experience working in Data Analysis / Data Science / Software Development
- Strong verbal and written communication skills
- Demonstrated strong analytical and problem solving skills
- Ability to work in teams and collaborate effectively with people in different functions
