Description
NVIDIA's Data and Agent Loop Lab is seeking a Senior Applied Research Scientist to develop multimodal search and curation systems for Physical AI. You will work on building the foundation for robots, autonomous vehicles, and intelligent machines that can perceive, reason, and act in the real world.
Responsibilities:
- Research and design multimodal search and curation systems optimized for Physical AI data
- Develop datasets, benchmarks, and experimental frameworks for data curation in robotics and AV contexts
- Translate research into production-grade software and write papers, blog posts, and documentation
- Stay current with the latest in data curation, information retrieval, and multimodal learning
Requirements:
- M.S. or Ph.D. in a relevant field (machine learning, information retrieval, robotics, AV, or multimodal AI)
- 8+ years of industry or research experience
- Deep understanding of the data challenges specific to Physical AI
- Strong software engineering fundamentals
- Clear, compelling communication skills
Nice to Have:
- Hands-on experience with data curation or search in robotics, autonomous vehicles, or embodied AI
- Familiarity with model training pipelines and the role data quality plays in model performance
- Experience with large-scale video data
- Prior work on semantic or neural search
- Publications in top venues on data-centric AI, information retrieval, or multimodal learning
NVIDIA offers competitive salaries and a generous benefits package.