Artificial Intelligence Engineer

Change the world. Love your job.

The AI Engineer will drive implementation of artificial intelligence and machine learning solutions to enhance semiconductor back-end manufacturing operations. The role will involve close collaboration with manufacturing teams, data scientists, product and process engineers to identify opportunities and implement AI-driven solutions that improve operational efficiency, quality, and yield.

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.

Department: Smart Manufacturing Automation (SMA)

Number of Opening:  3 AI Engineer

• 1 Opening:   AI Engineer (Data Engr & Agentic AI Development)
• 2 Opening:  AI Engineer (Command Center & Lights Out)

Intake: Immediate (2025)

Work Arrangement: (Onsite Working Arrangement at Kuala Lumpur, Malaysia)

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.
• Set up and manage AI development and production infrastructure.
• Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.
• Build data ingest and data transformation infrastructure.
• Identify transfer learning opportunities and new training datasets.
• Build AI models from scratch and help product managers and stakeholders understand results.
• Deploy AI models into production.
• Create APIs and help business customers put results of your AI models into operations.
• Keep current of latest AI research relevant to our business domain.
• Collaborate with Data Analytics team to integrate and implement large scale data solution.
• Participate in fast-paced prototyping to identify improvement opportunities in manufacturing systems.

Why TI?

• Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
• We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI
• Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us.

About Texas Instruments

Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at 

Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment.

If you are interested in this position, please apply to this requisition.

Minimum requirements:

• Bachelor's degree in Computer Science, Data Science, Engineering or a related field.
• Strong programming skills in Python, R, VB.Net 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 and Proficiency  in Full Stack Development.
• 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:

• 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, equipment logs, 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

Added Advantage:

• Knowledge of semiconductor manufacturing process or equipment.
• Knowledge in sensors, drivers and encoder will be an added advantage.
• Familiarity with Data Processing Tools (Kafka, Spark, Apache Nifi, Dataiku).
• Familiarity with No-SQL databases (Cassandra, Mongo, HDFS).
• Familiarity with software engineering tools (JIRA, Jenkins, Git, Confluence).
• Excellent knowledge of algorithms and data structures.