Principal Research Scientist, Synthetic Data Generation

NVIDIA is seeking a Principal Research Scientist to lead synthetic data generation across its frontier model efforts. You will define and build open-source libraries within the NVIDIA NeMo ecosystem to generate synthetic datasets for large language models like Nemotron.

Responsibilities:

• Build and scale data generation pipelines using LLM-based methods combined with automated quality evaluation.
• Pioneer data generation for agentic and tool-use training, including synthetic trajectories and multi-turn interactions.
• Advance multimodal synthetic data generation in partnership with NVIDIA's model teams.
• Develop and maintain open-source libraries and SDKs with clean APIs and strong documentation.
• Publish original research at top machine learning and AI conferences.
• Mentor scientists and engineers across the team.

Requirements:

• PhD in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experience.
• 15+ years of engineering and research experience in synthetic data generation, generative modeling, or related areas.
• Deep technical understanding of LLMs, data pipelines, and inference frameworks.
• Proven track record of developing software libraries used by a broad developer community.
• Experience building scalable data pipelines for large-scale model training.
• Strong publication record at premier venues like NeurIPS, ICML, ICLR, or ACL.

Benefits:

• Equity
• Benefits package