Principal Scientist: Synthetic Data for LLMs & Multimodal AI

NVIDIA; Massachusetts; On-site; USD 272,000 - 431,000; Full time

Job summary

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

This role blends hands-on software engineering with applied research. You will mentor researchers, publish at top conferences, and collaborate with model teams and

Qualifications

• PhD in Computer Science, ML, Statistics, or related field, or equivalent experience.
• 15+ years of engineering and research experience in synthetic data generation, generative modeling, multimodal machine learning, or related areas.
• Deep technical understanding of LLMs, how data shapes their pre-training, post-training, and RL stages, and inference frameworks such as vLLM or TGI.
• Proven track record of developing or maintaining software libraries used by a broad developer community.
• Experience building and optimizing scalable data pipelines for large-scale model training - throughput, distributed inference, and cost at cluster scale.
• Strong publication record at premier venues such as NeurIPS, ICML, ICLR, ACL or similar.

Responsibilities

• 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, and RL environments.
• Advance multimodal synthetic data generation - image, document, video, and audio in partnership with model teams.
• Advance privacy-preserving and safe synthesis - differential privacy, anonymization, and de-identification.
• Develop and maintain open-source libraries and SDKs with clean APIs and strong documentation.
• Publish original research at top ML/AI conferences and mentor scientists and engineers.

Skills

LLM expertise

Software libraries

Data pipelines

Publications

Education

PhD in Computer Science, ML, Statistics, or related field

Tools

vLLM

TGI

Job description

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

This role blends hands-on software engineering with applied research. You will mentor researchers, publish at top conferences, and collaborate with model teams and