Senior Research Engineer - Video Search at NVIDIA

**Who this is for** This role is for a research engineer passionate about designing and building scalable video search platforms to support autonomous vehicles,

Work type: onsite

Location: US, CA, Santa Clara

Salary: $184,000 – $356,500/yr

Type: Full-time

Summary

**Who this is for** This role is for a research engineer passionate about designing and building scalable video search platforms to support autonomous vehicles, robotics, and healthcare applications. **Key highlights** You will develop innovative video retrieval methods and agentic AI workflows, integrating your research into core NVIDIA platforms while collaborating with cross-functional product and model teams. **You might be a good fit if you...** - Hold an MS or PhD in Computer Science or a related field with 8+ years of industry experience. - Are fluent in PyTorch and have extensive experience in training and optimizing large-scale models. - Stay current with state-of-the-art research in video understanding, retrieval, and agentic workflows. - Have a demonstrated ability to write high-quality, production-grade Python code for complex projects.

Job Description

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.

• 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.

• 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.

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](https://www.nvidia.com/en-us/benefits/).

Applications for this job will be accepted at least until April 23, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

#deeplearning

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