Senior Research Engineer - Video Search

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

Senior Research Engineer at NVIDIA to design and build video search technologies for Autonomous Vehicles, Robotics, and Medical applications, focusing on exabyte scale and agentic search. The role involves developing and integrating innovative video search approaches, benchmarking retrieval methods, and collaborating with researchers and product teams to build robust physical AI dataset search workflows.

What you'd actually do

  1. 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.
  2. Benchmark and be expert on state of the art video retrieval methods.
  3. Partner with our researchers to develop and evaluate prototypes of our latest models for image search, video search, video understanding, and more.
  4. Collaborate within a large and dynamic codebase building robust physical AI dataset search workflows.
  5. Use agentic AI workflows across the full applied research lifecycle.

Skills

Required

  • 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 have

  • 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.

What the JD emphasized

  • exabyte scale
  • agentic AI workflows

Other signals

  • video search technologies
  • exabyte scale
  • physical AI developers
  • agentic AI workflows