Senior Research Engineer - Video Search

at Nvidia

USD 224,000-431,200 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 6 Agentic AI @ 6 Algorithms @ 6 Communication @ 4 Computer Vision @ 7 Machine Learning @ 7 PyTorch @ 4 Python @ 6 Robotics @ 4

Details

NVIDIA is seeking a senior research engineer to design and build video search technologies for Autonomous Vehicles, Robotics, and Medical applications. The role involves technical innovation and collaboration to change how NVIDIA builds dataset search platforms for physical AI developers.

Responsibilities

Develop and integrate innovative video search approaches, such as VLMs and agentic search at exabyte scale, enabling advances in autonomous driving scenario search, healthcare, and robotics.
Benchmark and be an expert on state of the art video retrieval methods.
Partner with researchers to develop and evaluate prototypes 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.
Up to date 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.

Ways to Stand Out from the Crowd

Strong track record publishing in top-tier conferences 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.