Edge AI Deployment Engineer for Pipelines & Digital Twin

National University of Singapore; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

The National University of Singapore is seeking a Research Engineer specialized in software engineering and AI deployment. This role entails developing data pipelines, optimizing deep learning models for robots, and creating web interfaces for digital platforms. Candidates should hold a Bachelor’s degree in relevant fields and possess strong programming skills in Python and C++. Familiarity with deep learning and web technologies is essential. The position is based at the Kent Ridge Campus and is open to fixed-term contracts.

Qualifications

• Bachelor's degree in a relevant field.
• Proficiency in Python and C++ with strong OOP skills.
• Experience with deep learning frameworks like PyTorch.

Responsibilities

• Develop, optimize, and maintain data pipelines for multimodal sensor data.
• Assist in deploying deep learning models onto edge computing devices.
• Develop web-based UI components for the Digital Twin Platform.

Skills

Python

C++

Deep Learning frameworks (PyTorch)

Computer vision libraries (OpenCV, PCL)

Web technologies (HTML/CSS, JavaScript)

Database management

Education

Min Bachelor’s degree in Computer Science, Software Engineering, Data Science, or related fields

Tools

Git

Job description

Job Title: Research Engineer (Software Engineering & AI Deployment)

University-Level Unit: College of Design and Engineering

Faculty/Department-Level Unit: Electrical and Computer Engineering

Employee Category: Research Staff

Location_ONB: Kent Ridge Campus

Posting Start Date: 12/05/2026

Job Description

We are looking for a versatile Research Engineer with a strong background in software development and data science to support our AI and Digital Twin tracks.

You will build the data pipelines and software infrastructure necessary to bring cutting-edge machine intelligence from simulation into the physical world.

Key Responsibilities

• Develop, optimize, and maintain data pipelines for processing multimodal sensor data (video, LiDAR, BIM).
• Assist in the deployment and acceleration of deep learning models (e.g., TensorRT, ONNX) onto edge computing devices on the robot.
• Develop interactive web-based UI components and dashboards for the Digital Twin Platform.
• Maintain the project's codebase, ensuring robust version control (Git), CI/CD pipelines, and comprehensive documentation.
  
  

Qualifications

• Min Bachelor’s degree in Computer Science, Software Engineering, Data Science, or related fields.
• Proficiency in Python and C++ with strong object-oriented programming skills.
• Experience with Deep Learning frameworks (PyTorch) and computer vision libraries (OpenCV, PCL).
• Familiarity with web technologies (HTML/CSS, JavaScript) and database management.
• Strong adherence to software engineering best practices and agile development methodologies.
• Open to Fixed Term Contract.
  
  

Req ID: 32852