We expect you to identify promising methods from academia, industry, open source, and internal NVIDIA research, understand where they matter for OpenShell, validate their impact through hands-on prototypes, benchmarks, and real agent workflows, and help us integrate the best ideas into the product. Deep experience in several of the following: LLMs, agent harnesses, multimodal generative models, evaluation frameworks, synthetic data generation, post-training, inference infrastructure/optimization, adversarial ML, or agent safety/security.