Senior Software Engineer - 3D Omniverse & AI Pipelines Lead

GMP Technologies; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

GMP Technologies in Singapore seeks a senior engineer to design and own the Omniverse stack, including USD-based models, Nucleus and Connectors. You will integrate computer vision, vision-language, and large language models to enable real-time insights and smarter decisions across industrial environments.

You will also build automated data pipelines that connect MES, PLC, IoT, and AI inspection systems into Omniverse models, lead manufacturing and logistics POCs, and scale them to

Qualifications

• Degree in CS, Software Engineering, 3D Graphics, Mechanical Engineering, or similar.
• Strong experience with 3D engines and Omniverse exposure is highly preferred.
• Proficiency in Python and C++, including Omniverse Kit Extensions & Connectors.
• Knowledge of USD, PBR workflows, and 3D data pipelines.
• Proven ability to deliver POCs and translate concepts into production.

Responsibilities

• Design and own our Omniverse stack USD, Nucleus, Connectors, and immersive 3D simulations.
• Integrate CV, vision-language, and LLMs into Omniverse for real-time insights.
• Build automated data pipelines linking MES, PLC, IoT, and AI inspection into models.
• Lead POCs in manufacturing/logistics/quality, scale to production solutions.
• Define team vision, act as technical anchor, mentor engineers.

Skills

Python

C++

3D graphics

Omniverse

POC delivery

Education

Bachelor's degree in CS/SE/ME

Tools

Git

Docker

Cloud

Edge deployments

Job description

GMP Technologies in Singapore seeks a senior engineer to design and own the Omniverse stack, including USD-based models, Nucleus and Connectors. You will integrate computer vision, vision-language, and large language models to enable real-time insights and smarter decisions across industrial environments.

You will also build automated data pipelines that connect MES, PLC, IoT, and AI inspection systems into Omniverse models, lead manufacturing and logistics POCs, and scale them to