Senior Research Engineer - Video Search

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$224,000–$356,500 / yr
Posted
3 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $201k
This role $290k
$127k most similar roles pay here $381k

This role pays more than 96% of similar roles. Most pay $166,305–$236,325 — the shaded band above. At the midpoint, this role pays about $290k versus about $201k for comparable roles.

Based on 239 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 563 open roles on FindRole.

Listed pay typically runs $168,000–$264,500 across 556 roles with salary data.

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At a glance

TL;DR · Senior Research Engineer - Video Search

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NVIDIA seeks a senior research engineer to join its cutting-edge team focused on developing video search technologies for autonomous vehicles, robotics, and medical applications. This role involves designing and integrating advanced video search approaches like VLMs at exabyte scale, benchmarking state-of-the-art methods, and collaborating with researchers to develop prototypes of new models for image and video understanding. The ideal candidate will have a strong background in computer vision, machine learning, and experience working within large codebases to build robust AI dataset search workflows. Key skills include expertise in PyTorch, proficiency in Python, and the ability to contribute high-quality code to large projects while maintaining clear communication with cross-functional teams. Candidates should also possess a track record of publishing in top-tier conferences and have hands-on experience in robotic systems or autonomous vehicles.

Skills

Python PyTorch Video Retrieval Computer Vision Machine Learning Agentic AI Workflows Large Codebases Model Training Benchmarking Prototyping NVIDIA Cosmos Dataset Search CVPR NeurIPS ICML ECCV

What you'll do

  • Develop and integrate advanced video search technologies like VLMs and agentic search at exabyte scale.
  • Benchmark and master state-of-the-art video retrieval methods in autonomous driving, healthcare, and robotics.
  • Evaluate prototypes of latest models for image and video search with research teams.
  • Build robust physical AI dataset search workflows within a large codebase.
  • Contribute to NVIDIA Cosmos Dataset Search and other core platforms by integrating novel algorithms.

What we're looking for

  • MS or PhD in Computer Science, Engineering, or related field with 8+ years experience.
  • Expertise in video retrieval methods and agentic AI workflows across research lifecycle.
  • Proficient in PyTorch and Python for developing high-quality code in large projects.
  • Strong background in training and optimizing machine learning models.
  • Experience in autonomous vehicles, healthcare, robotics, or related physical AI applications.
  • Clear communication skills and ability to work effectively in dynamic teams.

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