Gmp Technologies (S) Pte Ltd · MyCareersFuture · 2w
Software Engineer - AI System (Manufacturing | PERM)
Singapore- Posted
- 2026-09-21 (2w)
- Place
- Singapore
- Commitment
- Full Time
- Salary
- SGD 7,000 – 15,000 / month
- Experience
- 3+ YOE
- Education
- Bachelor's
- Department
- Information Technology
- Source
- MyCareersFuture (the employer’s own listing)
Your match
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Skills in this posting
Cloud ApplicationsNvidiaDockerManufacturingC++PythonGitArtificial IntelligenceComputer VisionLLMUnreal EngineUnity
• 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.
Qualifications
• Bachelor’s degree in Computer Science, Software Engineering, AI, or a related field.
• 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 Qualifications
• Practical 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.com
We 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
Gmp Technologies (S) Pte Ltd
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