Description

You will define and own the AI and Computer Vision architecture for Industrial Metaverse solutions, ensuring systems are scalable, reliable, and production-ready.

Responsibilities

• Define architecture standards for synthetic data, model training, validation, and deployment.
• Guide the adoption of NVIDIA Metropolis, TAO, Replicator, and NIM technologies.
• Lead a team of designers and developers in building use cases for NVIDIA Omniverse and Isaac SIM.
• Mentor developers and align AI design with Omniverse and Physical AI teams.
• Integrate AI solutions with large-scale industrial applications and simulation platforms.

Required Skills

• Strong expertise in Computer Vision algorithms and deep learning techniques.
• Hands-on experience with PyTorch for model development and training.
• Proficient Python programming skills for AI/ML development.
• Experience with the NVIDIA AI stack (Omniverse, Metropolis, TAO, Replicator, NIM).
• Deep understanding of synthetic data generation techniques and pipelines.
• Experience designing scalable AI/ML architectures for production environments.
• Knowledge of model training, validation, deployment, and MLOps practices.
• Proven track record building real-world computer vision solutions (object detection, segmentation, tracking).
• Strong system design skills for AI-driven industrial or enterprise applications.

Preferred Skills

• Ability to mentor teams and define technical standards and best practices.
• Strong communication and leadership skills for cross-team collaboration.

Key Skills

Education

Any Graduate