n, Python development, and industrial automation technologies.
The candidate will be responsible for designing, developing, and implementing advanced simulation environments and digital twin applications for manufacturing and industrial use cases. The role involves working closely with cross-functional teams including developers, AI engineers, automation specialists, and designers to build scalable and innovative solutions using NVIDIA ecosystem technologies.
The selected professional will contribute to robotics simulation workflows, synthetic data generation, AI model training pipelines, and autonomous navigation systems for industrial automation. The role also requires integration of Omniverse solutions with cloud platforms such as Azure and AWS, along with IoT devices and enterprise applications.
Candidates should have experience in developing simulation-based applications for factory automation, AMR navigation, path planning, and AI-driven quality inspection systems. Knowledge of industrial digital twins, real-time visualization, and smart factory concepts will be highly preferred.
The role demands strong analytical thinking, problem-solving abilities, and collaboration skills to deliver enterprise-grade solutions for global manufacturing and industrial transformation initiatives.
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