Principal Scientist, Synthetic Data Gen & Open-Source AI

NVIDIA Corporation; Santa Clara (CA); Sur place; USD 272 000 - 431 000; Plein temps

Avantages offerts par ce poste

Equity

Benefits package

Résumé du poste

NVIDIA Corporation is seeking a Principal Scientist to lead synthetic data generation for frontier model efforts within the NVIDIA NeMo ecosystem. You will define and build open-source libraries that create synthetic datasets across text, code, structured, and multimodal data to support pre- and post-training of LLMs such as Nemotron.

You will combine hands-on software engineering with applied research in generative methods, collaborating with research, engineering, product, and model teams as

Qualifications

• PhD in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experience.

Responsabilités

• Build and scale data generation pipelines using LLM-based methods with automated quality evaluation.
• Pioneer data generation for agentic and tool-use training: synthetic trajectories, multi-turn interactions, function calling, and RL environments.
• Advance multimodal synthetic data generation — image, document, video, and audio — in partnership with model teams.
• Develop and maintain open-source libraries and SDKs with clean APIs and strong documentation.
• Mentor scientists and engineers across the team, raising the technical bar.

Connaissances

LLM knowledge

Synthetic data

Multimodal ML

Formation

PhD in CS/ML/Statistics

Description du poste

NVIDIA Corporation is seeking a Principal Scientist to lead synthetic data generation for frontier model efforts within the NVIDIA NeMo ecosystem. You will define and build open-source libraries that create synthetic datasets across text, code, structured, and multimodal data to support pre- and post-training of LLMs such as Nemotron.

You will combine hands-on software engineering with applied research in generative methods, collaborating with research, engineering, product, and model teams as