Description

Define and own the AI and computer vision architecture for industrial Metaverse solutions, covering training, validation, and production deployment.

This role is remote.

Responsibilities

• Establish standards for vision pipelines, model training, and inference workflows to ensure production readiness.
• Design and oversee synthetic-data-driven development, including simulation-led testing and sim-to-real validation.
• Integrate AI systems with platform, backend, and data pipelines for industrial use cases like vision-based quality inspection.
• Guide the adoption of NVIDIA AI Enterprise-Metropolis and mentor developers on architectural alignment with Omniverse/Physical AI teams.
• Design large-scale AI and vision codebases with a focus on robustness and optimization.

Required Skills

• 8-15 years of experience in AI and computer vision system architecture and deployment.
• Strong Python programming skills with experience designing large AI/vision codebases.
• End-to-end computer vision architecture experience for training, evaluation, optimization, and inference.
• Proven track record designing vision pipelines and model training & inference workflows for production systems.
• Knowledge of NVIDIA AI Enterprise-Metropolis and ability to deploy scalable vision AI solutions.
• System Design skills for complex AI integrations.
• Experience with Edge AI and Synthetic Data Generation.

Preferred Skills

• Exposure to NVIDIA TAO and NIM for transfer learning, fine-tuning, and inference workflows.
• Experience with synthetic data generation tools (e.g., Omniverse Replicator) and model serving services.
• Familiarity with camera hardware, industrial vision systems, robotics perception, or autonomous systems.

Key Skills

Education

Any Graduate