Software Engineer (Industrial AI)

Responsibilities: Develop 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 enable capabilities such as automated inspection, visualization, and interactive control. Develop data pipelines that connect IoT devices, PLCs, MES, and other real-time industrial 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 closely with AI engineers, software developers, and business stakeholders to translate business requirements into scalable, maintainable, and reliable software solutions. Requirements: Bachelor's Degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field. 3 years of experience in software development, AI applications, or a related engineering role. Candidates with less experience who possess strong academic projects, internship experience, or hands-on experience in relevant technologies will also be considered. Strong proficiency in Python programming. Experience with C++ will be an advantage. Hands-on experience integrating or deploying AI models, including Computer Vision, Vision Language Models (VLM), or Large Language Models (LLM). Good understanding of APIs, system integration, and data pipeline development. Interest in 3D simulation or digital twin technologies. Experience with platforms such as NVIDIA Omniverse, Unity, or Unreal Engine will be an advantage. Ability to collaborate effectively within across-functional team to transform concepts into functional software solutions. Preferred Qualifications: Hands-on experience with NVIDIA Omniverse tools such as Create, View, Code, or Isaac Sim. Familiarity with Universal Scene Description(USD), Physically Based Rendering (PBR) materials, and 3D content pipelines. Exposure to manufacturing, smart factories, industrial automation, IoT, MES, PLC, or automated inspection systems. Experience using Git, Docker, and deploying applications in cloud or edge environments. Knowledge of NVIDIA SDKs or APIs will be an added advantage. To apply, please visit www.gmprecruit.com and search for Job Reference: 939XX7RY To learn more about this opportunity, please contact Yingying at yingying.lai@gmprecruit.com We regret that only shortlisted candidates will be notified. GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239