Embodied AI Engineer for Semiconductor Automation

STMicroelectronics; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A global semiconductor company is seeking an AI Engineer in Singapore to lead the design, deployment, and continuous improvement of physical assets in semiconductor manufacturing. This role involves analyzing workflows, developing AI models, and collaborating with robotics vendors to integrate systems. The ideal candidate should hold a relevant degree, have 3-5 years of experience in the field, and possess skills in AI/ML model development, particularly within manufacturing environments. Join us in innovating for a sustainable future.

Benefits

Diverse and inclusive workplace

Opportunities for growth and learning

Equity in career development

Qualifications

• 3-5 years’ experience in semiconductor manufacturing, robotics automation, or AI model deployment.
• Experience deploying AI/vision models in industrial environments is a plus.
• Experience with cleanroom operation or ISO 14644 standards preferred.

Responsibilities

• Lead the design, deployment, and continuous improvement of physical assets.
• Analyze technician workflows to identify tasks suitable for automation.
• Collaborate with robotics vendors to adapt physical assets.

Skills

AI Model Identification & Development

Physical manufacturing asset System Integration

Simulation and Virtual Training Environment Development

Testing, Validation, and Qualification

Deployment and Continuous Improvement

Cross-Functional Collaboration

Education

Bachelor’s or Master’s degree in Robotics, AI/ML, Mechatronics, Electrical Engineering, or Computer Science

Tools

Python

TensorFlow

PyTorch

OpenCV

NVIDIA Omniverse

Job description

A global semiconductor company is seeking an AI Engineer in Singapore to lead the design, deployment, and continuous improvement of physical assets in semiconductor manufacturing. This role involves analyzing workflows, developing AI models, and collaborating with robotics vendors to integrate systems. The ideal candidate should hold a relevant degree, have 3-5 years of experience in the field, and possess skills in AI/ML model development, particularly within manufacturing environments. Join us in innovating for a sustainable future.