[Remote] Senior Generative AI Research Engineer at NVIDIA

Candidates must have a minimum of 8 years of industry experience or 5+ years of research/postdoc experience in building and deploying generative AI systems. Proficiency in PyTorch, JAX, or other deep learning frameworks is essential. Expertise in one or more generative AI areas such as LLMs, coding agents, diffusion models, autoregressive models, VAE/GAN architectures, retrieval-augmented generation, neural rendering, or multi-agent systems is required. Familiarity with transformer architectures and attention mechanisms is necessary, along with hands-on experience in large-scale training (e.g., ZeRO, DDP, FSDP, TP, CP) and data processing (e.g., Ray, Spark). Production-quality software engineering skills in Python are highly relevant. An MS or PhD or equivalent experience in Computer Science, Machine Learning, Applied Math, Physics, or a related field, and 12+ years of relevant software development experience are needed. Familiarity with high-performance computing, GPU acceleration, influential open-source libraries or publications, multimodal data, and NVIDIA GPU-based compute clusters or simulation environments are preferred.