Senior Research Engineer - Video Search

NVIDIASanta Clara, CA

About The Position

NVIDIA is the platform upon which every new AI-powered application is built. We are seeking a senior research engineer to design and build video search technologies for Autonomous Vehicles, Robotics, and Medical applications. The right person for this role brings technical innovation and collaborative culture to change the way NVIDIA builds dataset search platforms for physical AI developers. Our dataset search offerings are ease to use, performant and scalable. Your work will redefine the search capabilities in NVIDIA product offerings and impact the most iconic companies in Physical AI. What you'll be doing: 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.

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

  • Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
  • The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
  • You will also be eligible for equity and benefits.
  • Applications for this job will be accepted at least until April 23, 2026.
  • NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

Ph.D. or professional degree

Number of Employees

5,001-10,000 employees

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