AI & Computer Vision Architect

Key Skills: Computer Vision, Python, Pytorch, System Design, Edge AI, Synthetic Data Generation, nvidia, Autonomous Vehicles

Roles and Responsibilities:

• Define and own AI & computer vision architecture for industrial Metaverse solutions, covering training, validation, and deployment.
• Establish standards for vision pipelines, model training & inference workflows, and production deployment practices.
• Design and oversee synthetic-data-driven development, including robustness improvements and simulation-led testing with sim-to-real validation concepts.
• Integrate AI systems with platform, backend, and data pipelines to support industrial use cases such as vision-based quality inspection.
• Guide hands-on adoption of NVIDIA AI Enterprise-Metropolis and related components, mentoring developers and aligning architecture with Omniverse/Physical AI teams.

Skills Required:

• 8-15 years of experience in AI and computer vision system architecture and deployment.
• Strong Python programming and ability to design large AI/vision codebases.
• End-to-end computer vision architecture for training, evaluation, optimization, and inference.
• Experience designing vision pipelines and model training & inference workflows for production systems.
• Knowledge of NVIDIA AI Enterprise-Metropolis and ability to deploy scalable, reliable vision AI solutions.

Good to Have:

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

Education:

• Bachelor's Degree in Computer Science or related field.
• Master's Degree in Computer Science or related field