Texas Instruments 自动化工程师/Automation Engineer 

China, Sichuan, Chengdu City 

465010689

This position requires a strong understanding of AI/ML technologies, experience with semiconductor manufacturing, and a passion for applying data-driven techniques to solve complex industrial problems.

Responsibilities include:

• Collaborate with cross-functional teams and domain experts to identify opportunities for AI integration in workflows.
• Analyze and preprocess large datasets from manufacturing equipment, sensors, and logs to enable effective machine learning applications.
• Lead proof-of-concept projects and pilot programs to demonstrate the value of AI applications in manufacturing settings.
• Develop and deploy AI/ML models for defect detection, yield improvement, process optimization, and predictive maintenance in semiconductor back-end manufacturing processes.
• Provide technical documentation, training, and support to ensure seamless adoption of AI solutions by production teams.
• Monitor AI systems performance and implement enhancement.

Stay updated with the latest advancements in AI/ML and propose innovative solutions applicable to semiconductor manufacturing.

Minimum requirements:

• Bachelor's degree in Computer Science, Data Science, Engineering or a related field.
• Minimum 3 years of experience in AI/ML development and deployment.
• Strong programming skills in Python, R, or equivalent languages.
• Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience in Data Analytics, AI vision or Gen-AI.
• Experience in deploying machine learning models in production environments, including edge devices or cloud-based systems.
• Excellent analytical and problem-solving skills and ability to work collaboratively in a cross-functional team.
• Strong verbal and written communication skills.

Preferred qualifications:

• Master’s or Ph.D. in Artificial Intelligence, Machine Learning or related disciplines.
• Knowledge of advanced computer vision techniques, such as deep learning for image classification, segmentation and object detection.
• Knowledge of LLM, Prompt Engineering, RAG and LLM fine-tuning.
• Experience with AI model explainability, trustworthiness, and validation in industrial contexts.
• Knowledge of semiconductor back-end manufacturing processes, including assembly, packaging, and testing.
• Experience in working with semiconductor manufacturing data, including sensor data,equipmentlogs, and MES data.
• Familiarity with industry standards and protocols (e.g., SECS/GEM standards for semiconductor equipment).
• Familiarity with data analysis tools and techniques.
• Proven track record of publications, patents, or conference presentations in AI/ML applications for manufacturing.