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 [Confidential Information]
We regret that only shortlisted candidates will be notified.
GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239
