Senior Research Engineer - Video Search

NVIDIA • Us, CA

23h

About The Position

NVIDIA is the platform upon which every new AI-powered application is built. This role seeks a senior research engineer to design and build video search technologies for Autonomous Vehicles, Robotics, and Medical applications. The ideal candidate will bring technical innovation and a collaborative culture to enhance NVIDIA's dataset search platforms for physical AI developers. The goal is to create dataset search offerings that are easy to use, performant, and scalable, ultimately redefining search capabilities in NVIDIA's product offerings and impacting leading companies in Physical AI.

Requirements

• MS or PhD in Computer Science, Computer Engineering or a related field (or equivalent experience).
• 8+ years of job experience in computer vision, video retrieval, machine learning, or equivalent experience.
• Current with the latest research on image and video search in autonomous vehicles, healthcare, robotics, or related physical AI applications.
• Fluent with agentic AI workflows across the full applied research lifecycle, including prototyping novel algorithms and search pipelines, benchmarking, and integrating prototypes in production codebases.
• Excellent experience in training and optimizing models.
• Excellent experience with PyTorch
• Record of developing high quality Python code in large projects
• Clear and effective communication skills, with experience working well in a dynamic, product- and research-focused team.

Nice To Haves

• Strong track record publishing in top-tier conference such as CVPR, NeuRIPS, ICML, ECCV
• Patents in video retrieval or related field
• Strong coding architecture skills demonstrated through contributions to large internal or open-source projects.
• Experience in robotic systems such as autonomous vehicles or humanoid robotics.

Responsibilities

• Develop and integrate innovative video search approaches, such as VLMs and agentic search at exabyte scale.
• Enable fundamental advances in autonomous driving scenario search, healthcare, and robotics.
• Benchmark and be expert on state of the art video retrieval methods.
• Partner with our researchers to develop and evaluate prototypes of our latest models for image search, video search, video understanding, and more.
• Collaborate within a large and dynamic codebase building robust physical AI dataset search workflows.
• Collaborate with research, model development, performance, and product teams.
• Use agentic AI workflows across the full applied research lifecycle.
• Contribute to NVIDIA Cosmos Dataset Search and other core NVIDIA platforms and products.

Benefits

• equity and benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees