Vision Artificial Intelligence Engineer – Texas Instruments | Malaysia
Vision Artificial Intelligence Engineer – Smart Manufacturing
Posted by JobsForAll
Company Overview
Texas Instruments (TI) is a global semiconductor leader known for building reliable analog and embedded processing technologies that power modern electronics. With innovation at its core, TI supports industries ranging from automotive and industrial systems to communications and consumer devices.
The Smart Manufacturing Automation (SMA) team at TI focuses on using advanced AI and automation technologies to improve quality, efficiency, and reliability across semiconductor manufacturing operations.
Job Summary
Texas Instruments is hiring an experienced Vision Artificial Intelligence Engineer for its Smart Manufacturing Automation team in Kuala Lumpur, Malaysia. This role focuses on developing, deploying, and optimizing AI-powered vision inspection systems that ensure product quality across semiconductor production lines.
The position offers hands-on ownership of AI vision solutions—from design and deployment to performance optimization and long-term system sustainability.
💭 JobsForAll Note: This role is ideal for professionals who want to apply computer vision and AI in real-world, large-scale manufacturing environments with measurable business impact.
Eligibility Criteria
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related field
- Minimum 3 years of experience in Vision AI or ML system deployment
- Strong programming skills in Python, R, or similar languages
- Experience deploying AI models in production (edge or cloud)
- Strong analytical, communication, and cross-team collaboration skills
Who Should Apply for This Role?
- Engineers passionate about applying AI to real-world manufacturing problems
- Professionals experienced in deploying computer vision models into production
- Candidates who enjoy end-to-end ownership of AI systems
Who May Not Be a Good Fit?
- Professionals seeking purely research-oriented or academic AI roles
- Candidates with no hands-on experience in vision model deployment
Job Details
| Company | Texas Instruments |
|---|---|
| Job Title | Vision Artificial Intelligence Engineer |
| Job ID | 25008454 |
| Location | Kuala Lumpur, Malaysia |
| Department | Smart Manufacturing Automation |
| Work Mode | Full-Time | Onsite |
| Apply Before | 15 January 2026 |
Compensation & Benefits
- Competitive salary aligned with Malaysian market for AI engineers
- Health and wellness benefits
- Access to TI’s AI labs, software tools, and training resources
- Opportunities for international collaboration and travel
Key Responsibilities
- Lead end-to-end implementation of AI vision inspection projects
- Deploy, commission, and qualify vision systems on production lines
- Design and optimize AI-based defect detection and classification algorithms
- Analyze KPIs such as false call and escape rates to improve accuracy
- Perform root cause analysis and resolve complex vision system issues
- Develop SOPs and standardize AI vision solutions across manufacturing lines
Preferred Skills & Experience
- Master’s or PhD in AI, Machine Learning, or related disciplines
- Strong background in computer vision and deep learning
- Hands-on experience with OpenCV, TensorFlow, PyTorch, YOLO
- Knowledge of explainable AI and AI model validation
- Exposure to semiconductor assembly, packaging, or testing processes
AI Innovation & Research Exposure
Engineers in this role contribute to next-generation AI inspection strategies, exploring emerging vision technologies, generative AI, and intelligent automation frameworks to enhance manufacturing efficiency.
Career Growth & Technical Ownership
TI empowers engineers with end-to-end ownership, encouraging leadership in technical decision-making, innovation roadmaps, and continuous improvement initiatives.
Suggested Career Path
- Step 1: Vision AI Engineer – Develop and deploy AI inspection systems
- Step 2: Senior AI Engineer – Lead AI vision projects and optimize systems
- Step 3: AI Systems Architect – Define AI system architecture across manufacturing lines
- Step 4: Manufacturing AI Lead – Lead innovation, mentor engineers, drive global AI strategies
Why Work at Texas Instruments?
- Work on real-world AI systems deployed at scale
- Collaborate with global experts in AI and manufacturing
- Strong focus on learning, innovation, and long-term careers
- Inclusive and diverse engineering culture
Work Environment & Engineering Culture
Texas Instruments promotes a culture of engineering excellence, long-term thinking, and hands-on innovation. Teams collaborate closely across manufacturing, software, and AI research groups, with a strong emphasis on quality, reliability, and continuous improvement.
Recommended Certifications & Learning Resources
- Deep Learning Specialization (Coursera / Andrew Ng)
- Edge AI Deployment Courses
- OpenCV, TensorFlow, PyTorch tutorials
- Explainable AI and AI model validation resources
Interview & Career Preparation Resources
- AI & Technical Interview Preparation Guide
- Top IT Interview Questions
- Resume Writing Tips
- Resume Mistakes to Avoid
- How to Apply for Jobs Safely
FAQs
Is this role open to international candidates?
Employment may be subject to export control regulations and eligibility requirements.
Is this a remote role?
No, this is a full-time onsite role based in Kuala Lumpur.
What AI frameworks are commonly used?
OpenCV, TensorFlow, PyTorch, YOLO, and related machine vision frameworks.
Does TI support long-term career growth?
Yes, TI strongly emphasizes continuous learning, leadership development, and internal mobility.
How This Role Differs from Typical AI Jobs
- AI models directly impact physical manufacturing outcomes
- Strong focus on reliability, explainability, and production stability
- Hands-on exposure to edge AI and real-time inspection systems
- Long product lifecycles instead of short-term experimental projects
Apply Online
Apply Now – Official Texas Instruments Careers
Disclaimer
Company Disclaimer: Texas Instruments conducts recruitment only through its official career portals and never charges fees during the hiring process.
JobsForAll Disclaimer: JobsForAll shares verified job opportunities for informational purposes only. We never request money, fees, or sensitive personal information from candidates.
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