[Experienced - 2025 Intake] Vision Artificial Intelligence (AI) Engineer (Kuala Lumpur, Malaysia)
Texas Instruments
Software Engineering, Data Science
Malaysian Police Training Centre, Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Posted on Nov 25, 2025
Change the world. Love your job.
As Vision AI Engineer in Smart Manufacturing Automation (SMA) team at Texas Instruments, you will be part of a high-performing team responsible for developing, optimizing, and sustaining AI vision inspection systems to ensure quality control and product reliability across semiconductor manufacturing lines.
Department: Smart Manufacturing Automation (SMA)
Number of Opening: 1 (Onsite Working Arrangement)
Intake Year: Immediate (2025)
Responsibilities include:
- Project Leadership & Planning: Drive end-to-end implementation of AI vision inspection systems, including project scoping, timeline management, cross-functional resource allocation, and stakeholder communication to ensure on-time delivery and alignment with business objectives.
- System Deployment & Qualification: Lead installation, commissioning, and qualification of AI vision inspection systems, ensuring compliance with TI’s quality standards and seamless integration into production lines.
- Algorithm Development & Optimization: Design, customize, and fine-tune image processing and AI-based algorithms for defect classification using advanced machine vision and deep learning frameworks (e.g., OpenCV, TensorFlow, PyTorch, YOLO, etc.).
- Performance Analysis & Continuous Improvement: Monitor system KPIs such as false call rates and escape rates; apply statistical and data-driven methods to enhance inspection accuracy and throughput.
- Technical Troubleshooting & Root Cause Analysis: Provide expert-level support for AI vision inspection related issues, conduct root cause investigations, and implement corrective actions to maintain system reliability.
- •Data Analytics & Reporting: Utilize data analytical tools to analyze defect trends, yield performance, and provide actionable insights for management reviews.
- Standardization & Best Practices: Develop and maintain SOPs, enforce standardization across multiple production lines, and champion continuous improvement initiatives.
- Innovation & Technology Roadmap: Stay ahead of emerging vision technologies, AI techniques, and automation trends; propose and implement innovative solutions to enhance manufacturing efficiency.
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 TI.com.
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.
TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.
Minimum requirements:
- Bachelor’s degree in Computer Science, Data Science, Engineering or a related field.
- Minimum 3 years of experience in vision AI/ML DevOps.
- Strong programming skills in Python, R, or equivalent languages.
- Experience in deploying AI/ML models in production environments, including edge devices or cloud-based systems
- Excellent project management, analytical and problem-solving skills and ability to work collaboratively in a cross-functional team.
- Strong verbal and written communication skills.
- Work Arrangement: This is a full-time onsite role at the Texas Instruments Malaysia, Kuala Lumpur
Preferred qualifications/skills:
- Master’s or Ph.D. in Artificial Intelligence, Machine Learning, Data Engineering or related disciplines.
- Experience in advanced computer vision techniques, such as deep learning for image classification, segmentation and object detection.
- Experience in AI model explainability, trustworthiness, and validation in industrial contexts.
- Experience in generative AI.
- Experience in full stack AI development.
- Knowledge of semiconductor back-end manufacturing processes, including assembly, packaging, and testing.
- Familiarity with data analysis tools and techniques.
- Proven track record of publications, patents, or conference presentations in AI/ML applications for manufacturing.
Minimum requirements:
- Minimum education (ie bachelor's degree in electrical engineering)
- Minimum of XX years of experience.
Preferred qualifications:
- Ability to establish strong relationships with key stakeholders critical to success, both internally and externally
- Strong verbal and written communication skills
- Ability to quickly ramp on new systems and processes
- Demonstrated strong interpersonal, analytical and problem-solving skills
- Ability to work in teams and collaborate effectively with people in different functions
- Ability to take the initiative and drive for results
- Strong time management skills that enable on-time project delivery