Software Engineer, AI Engineer (Manufacturing)

• 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.

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