- PhD in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experience.
- A research background of 3+ years in synthetic data generation, generative modeling, multimodal machine learning, or related areas. Comparable experience is also considered.
- Deep technical understanding of LLMs, how data shapes their pre- and post-training, and inference frameworks such as vLLM or TGI.
- Proven track record of developing or maintaining software libraries used by a broad developer community.
- Strong publication record at premier venues such as NeurIPS, ICML, ICLR, ACL or similar.
Ways to stand out from the crowd
- Open-source contributions in ML or data tooling.
- Experience with multimodal generation or understanding (vision-language, document AI, video, or audio).
- Building and optimizing scalable data pipelines for large-scale model training (throughput, distributed inference).
- Experience generating data for agentic, tool-use, or reinforcement-learning post-training.
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 ranges for this position are: 168,000 USD – 264,500 USD for Level 3; and 192,000 USD – 304,750 USD for Level 4.
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.