Software Engineer - AI Systems (Manufacturing | PERM)

Gmp Technologies S · Singapore

Sector
AI
Function
Product & Engineering
Level
Mid-Level
Employment type
Full Time
Posted
2026-05-12
Source
mycareersfuture

Build and support Python-based tools, applications, and extensions within the NVIDIA Omniverse platform for industrial use cases. Integrate and deploy AI models into 3D simulation environments to power features such as automated inspection, visualization, and interactive control. Develop data pipelines that connect IoT, PLC, MES, and other real-time systems to digital twin environments for monitoring and simulation. Collaborate with the team to design, develop, and validate proof-of-concept solutions for manufacturing, inspection, and logistics applications. Work with AI engineers, developers, and business stakeholders to translate requirements into scalable and maintainable software solutions. QualificationsBachelor’s degree in Computer Science, Software Engineering, AI, or a related field. 3 years of experience in software development, AI applications, or a related engineering role. Strong proficiency in Python; experience with C++ is advantageous. Hands-on experience integrating or deploying AI models, including Computer Vision, VLM, or LLM applications. Solid understanding of APIs, system integration, and data pipeline development. Interest in 3D simulation or digital twin technologies; experience with platforms such as Omniverse, Unity, or Unreal Engine is a plus. Ability to collaborate effectively within a team to turn concepts into functional prototypes. Preferred QualificationsPractical experience with NVIDIA Omniverse tools such as Create, View, Code, or Isaac Sim. Familiarity with USD (Universal Scene Description), PBR materials, and 3D content pipelines. Exposure to industrial domains such as manufacturing, smart factories, IoT, MES, or inspection systems. Experience using Git, Docker, and deploying applications in cloud or edge environments. Knowledge of NVIDIA SDKs or APIs is a strong advantage.To apply, please visit www.gmprecruit.comWe regret that only shortlisted candidates will be notified.GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

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