…Architect Generative Pipelines : Develop and implement advanced image and video generation/editing/reasoning models to produce high-fidelity synthetic data for Physical AI applications…

…to synthetic data generation, including noise simulation, Hamiltonian learning, or data augmentation for scientific AI models. Experience with large-scale model training and fine…

…evaluation, benchmarking, and diagnostics for NVIDIA Physical AI models, including world foundation models, world-action models, synthetic data generation systems, robotics, simulation, and embodied…

…physics parameter tuning, and visual domain adaptation, drawing on both classical and learned approaches. * Architect policy training pipelines that combine teleoperation data, synthetic demonstrations…

…Machine learning is revolutionizing this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and…

…senior leadership. Develop a comprehensive hiring plan to staff and scale the AI team, including defining required roles (e.g., ML Engineers, Data Scientists…

…Leverage a combination of machine learning (ML) models and safety metrics from literature to evaluate the end-to-end driving behavior. Evaluate these metrics…

…large-scale distributed systems; data storage and processing systems; modern microservice architecture; machine learning, multithreading; x86 architecture; and software performance tuning and optimization, robotics…