AI Engineer

• Lead architectural design and development of digital twin-driven generative/optimization models for process simulation, process scheduling, and predictive analytics in manufacturing.
• Develop modular, reusable Omniverse extensions; orchestrate pipelines integrating synthetic data generation, model training, validation, and deployment.
• Implement advanced optimization: multi-objective, non-linear, evolutionary, and constraint-based approaches for process efficiency (e.g., scheduling, logistics, yield predictions).
• Guide the integration of embedded AI & Gen AI solutions with real-time industrial data streams, ensuring high-throughput, high-availability, and low-latency deployment.
• Mentor teams in coding best practices, simulation-modelling, and deployment workflows using OpenUSD, Omniverse, and latest industrial AI stacks.

Senior AI Engineer

AI Engineer