# Principal Research Scientist, Synthetic Data Generation

**Company**: NVIDIA
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Principal-Research-Scientist--Synthetic-Data-Generation_JR2021918?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_da62f8a9-6f0

## Description

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

## Skills

### Required
- synthetic data generation
- generative modeling
- large language models
- software engineering
- machine learning
- multimodal machine learning

### Nice to have
- differential privacy
- de-identification
- synthetic data for regulated industries
- multimodal generation
- agentic and tool-use training

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Principal-Research-Scientist--Synthetic-Data-Generation_JR2021918?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)