Senior Applied Research Scientist

NVIDIA • Santa Clara, CA

1d

About The Position

The Data and Agent Loop Lab at NVIDIA is seeking a Senior Applied Research Scientist to build multimodal search and curation systems for Physical AI. The role focuses on enabling researchers and customers to find, filter, and surface high-quality data across video, lidar, radar, text, and other modalities, at petabyte scale. The work will shape the data used to train foundation models and support external customers building Physical AI pipelines on NVIDIA’s platform.

The scientist will work with researchers and engineers to develop research and production software, establish datasets and benchmarks for data curation in robotics and autonomous-vehicle contexts, and share findings through publications and customer-facing materials. The position also involves keeping up with advances in data curation, information retrieval, and multimodal learning.

Requirements

• M.S. or Ph.D. in a relevant field such as machine learning, information retrieval, robotics, autonomous vehicles, or multimodal AI, or equivalent experience.
• 8+ years of industry or research experience.
• Deep understanding of data challenges specific to Physical AI.
• Strong software engineering fundamentals and experience shipping production-grade systems, not only research prototypes.
• Clear written and verbal communication skills, including the ability to write papers and explain tradeoffs to non-expert collaborators.

Nice To Haves

• Hands-on experience with data curation or search in robotics, autonomous vehicles, or embodied AI.
• Familiarity with model training pipelines and the role of data quality in model performance.
• Experience with large-scale video data collection, processing, and retrieval.
• Prior work on semantic or neural search, such as dense retrieval, CLIP-style embeddings, or multimodal indexing.
• Publications in leading venues on data-centric AI, information retrieval, or multimodal learning.
• Experience mentoring junior researchers or engineers.

Responsibilities

• Research and design multimodal search and curation systems for Physical AI data, including embedding-based retrieval, quality scoring models, active learning loops, and relevance evaluation frameworks.
• Develop datasets, benchmarks, and experimental frameworks to guide data curation in robotics and autonomous-vehicle contexts, and publish findings for the community.
• Translate research into production-grade software.
• Write papers, blog posts, and documentation to help customers understand and apply the team’s methods.
• Stay current with developments in data curation, information retrieval, and multimodal learning, and share relevant insights with the team.
• Mentor junior researchers or engineers (noted as a plus).

Benefits

• Competitive salaries and a generous benefits package.
• Equity and benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior