Principal Research Scientist, Synthetic Data Generation

NVIDIA, US, CA, Santa Clara +4

The role

NVIDIA is at the forefront of the AI revolution, and our research is shaping the future of large language models. We are looking for a Principal Scientist to set the technical direction for synthetic data generation across NVIDIA's frontier model efforts. You will define and build open-source libraries within the NVIDIA NeMo ecosystem that generate synthetic datasets across text, code, structured, and multimodal data, feeding the pre- and post-training of LLMs such as Nemotron.

This role combines hands-on software engineering with applied research in generative methods, and you will collaborate with research, engineering, product, and model teams as well as external labs.

What you will do

Build and scale data generation pipelines using LLM-based methods combined with automated quality evaluation. resulting in datasets to improve both initial training and fine-tuning of LLMs such as Nemotron. These data pipelines cover reasoning, coding, structured output, and multimodal understanding.

What you need

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, 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.

Ways to stand out from the crowd

Significant open-source contributions in ML or data tooling, with community adoption.
Experience with multimodal generation or understanding (vision-language, document AI, video, or audio).
Experience generating data for agentic, tool-use, or reinforcement-learning post-training, including RL environment design.
Background in differential privacy, de-identification, or synthetic data for regulated industries such as healthcare, finance, or government.
Experience influencing model training decisions at frontier scale, or partnering directly with pre-training and post-training teams.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world working with us. If you are creative, autonomous, and passionate about building open-source tools that make AI safer and more private, we want to hear from you.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 272,000 USD – 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

Principal Research Scientist, Synthetic Data Generation

The role

What you will do

Principal Research Scientist, Synthetic Data Generation

The role

What you will do

What you need

Ways to stand out from the crowd

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