Description

Key Skills: Pytorch, nvidia, Python, Computer Vision, Synthetic Data Generation

Roles and Responsibilities:

• Define and own the AI & Computer Vision architecture for Industrial Metaverse solutions.
• Establish standards for synthetic data, model training, validation, and deployment.
• Guide adoption of NVIDIA Metropolis, TAO, Replicator, and NIM where applicable.
• Ensure AI systems are scalable, reliable, and production-ready.
• Mentor developers and align AI design with Omniverse and Physical AI teams.
• Work hands-on to guide a team of designers and developers to build use cases associated with NVIDIA Omniverse, Isaac SIM, Metropolis, cuOpt, and integrate with other industrial applications.

Skills Required:

• Strong expertise in Computer Vision algorithms and deep learning techniques
• Hands-on experience with PyTorch for model development and training
• Strong Python programming skills for AI/ML development
• Experience working with NVIDIA AI stack (Omniverse, Metropolis, TAO, Replicator, NIM)
• Strong understanding of synthetic data generation techniques and pipelines
• Experience in designing scalable AI/ML architectures for production environments
• Deep knowledge of model training, validation, deployment, and MLOps practices
• Experience in building real-world computer vision solutions (object detection, segmentation, tracking, etc.)
• Strong system design skills for AI-driven industrial or enterprise applications
• Ability to mentor teams and define technical standards and best practices
• Experience integrating AI solutions with large-scale industrial or simulation platforms
• Strong communication and leadership skills for cross-team collaboration

Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Key Skills

Education

Any Graduate