AI Systems Engineer for 3D Digital Twin & Simulation

GMP Technologies; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

GMP Technologies is seeking a Software Engineer - AI Systems to build Python-based tools within NVIDIA Omniverse for industrial use. You will integrate AI models into 3D simulations, enabling automated inspection and interactive control.

You will develop pipelines linking IoT, PLC, MES to digital twins for monitoring and simulation, and collaborate to deliver proof-of-concept solutions for manufacturing and logistics.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, AI, or related field.
• 3 years of experience in software development, AI applications, or related engineering role.
• Strong proficiency in Python; experience with C++ is advantageous.
• Hands-on experience integrating or deploying AI models (CV, VLM, or LLM).
• Understanding of APIs, system integration, and data pipeline development.
• Interest in 3D simulation or digital twin tech; experience with Omniverse/Unity/Unreal is a plus.

Responsibilities

• Build and support Python-based tools, apps, and extensions within NVIDIA Omniverse for industrial use cases.
• Integrate and deploy AI models into 3D simulation environments for features like automated inspection and visualization.
• Develop data pipelines connecting IoT, PLC, MES, and other real-time systems to digital twin environments.
• Collaborate to design, develop, and validate proof-of-concept solutions for manufacturing, inspection, and logistics.
• Work with AI engineers, developers, and business stakeholders to translate requirements into scalable software.

Skills

Python

C++

AI deployment

APIs

Data pipelines

3D simulation

Omniverse

Team collaboration

Education

Bachelor's in CS/AI

Tools

Git

Docker

Cloud deployment

Omniverse

Job description

GMP Technologies is seeking a Software Engineer - AI Systems to build Python-based tools within NVIDIA Omniverse for industrial use. You will integrate AI models into 3D simulations, enabling automated inspection and interactive control.

You will develop pipelines linking IoT, PLC, MES to digital twins for monitoring and simulation, and collaborate to deliver proof-of-concept solutions for manufacturing and logistics.