Senior Vision Language Model Engineer

NVIDIA Corporation; United States; On-site; USD 184,000 - 357,000; Full time

Job summary

NVIDIA Corporation seeks a senior vision language model engineer to design and build agentic data and training workflows for Autonomous Vehicles, Robotics, and Medical applications. You will partner with researchers to prototype models (VLMs/VLAs) for video search and understanding, and you will design workflows that automate data discovery, labeling, evaluation, and retraining.

You will curate high-quality multimodal datasets (video, sensors, language traces) and explore synthetic data sources

Qualifications

• PhD with 4+ years, MS with 6+ years, or BS with 8+ years in Computer Science/Engineering or related field
• Strong background in modern deep learning, including transformer-based architectures, video modeling, and multimodal VLM/VLA or foundation models
• Experience training and deploying deep learning models on real-world datasets: preprocessing, distributed training, evaluation, debugging, and iteration
• Proficient in Python and at least one deep learning framework
• Up-to-date with the latest research on image/video search in autonomous systems, healthcare, robotics, or related physical AI applications
• Fluent with agentic AI workflows across the full applied research lifecycle, including prototyping and production integration
• Clear, effective communication, with experience in product- and research-focused teams

Responsibilities

• Collaborate with researchers to prototype and evaluate models (VLMs/VLA) for video search and understanding
• Design agentic data workflows to automate data discovery, labeling, evaluation, and retraining
• Build, curate, and maintain high-quality multimodal datasets tailored for end-to-end physical AI
• Explore and productize new data sources including simulation and synthetic data
• Apply agentic AI workflows across the full research lifecycle and collaborate across teams

Skills

Deep learning

Transformer models

Video modeling

Multimodal datasets

Research communications

Prototyping algorithms

Python

Model deployment

Education

PhD

MS

BS

Tools

PyTorch

Job description

NVIDIA is the platform upon which every new AI-powered application is built. We are seeking a senior vision language model engineer to design and build agentic data and training workflows 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 dataset search and model training capabilities in NVIDIA product offerings and impact the most iconic companies in Physical AI.

What you’ll be doing:

• Partner with our researchers to develop and evaluate prototypes of our latest models, such as VLMs and VLAs, for video search, video understanding, and more. Enable fundamental advances in autonomous driving, healthcare, and robotics.
• Design and implement agentic data workflows that automate data discovery, labeling, evaluation, and retraining to maximize development velocity.
• Build, curate, and maintain high‑quality multimodal datasets (e.g., video, sensor, language/action traces) tailored for end‑to‑end physical AI problems, such as autonomous driving.
• Explore and productize new data sources including simulation and synthetic data.
• Use agentic AI workflows across the full applied research lifecycle.
• Collaborate with research, model development, performance, and product teams.
• Contribute to NVIDIA Cosmos Dataset Search and other core NVIDIA platforms and products.

What we need to see:

• PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field
• Strong background in modern deep learning, including transformer‑based architectures, video modeling, and multimodal VLM/VLA or foundation models.
• Excellent experience training and deploying deep learning models on real‑world datasets: data preprocessing, distributed training, evaluation, debugging, and iterative improvement.
• Excellent experience with python and at least one deep learning framework.
• 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.
• 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 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.

With competitive salaries and a generous benefits package ( www.nvidiabenefits.com ), we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward‑thinking and hardworking people in the world working for us and, due to outstanding growth, our best‑in‑class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

Your base salary will be determined based on your location, experience, and other objective job‑related factors. The expected base salary ranges for this position are:
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.

NVIDIA is committed to fostering an inclusive 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.

NVIDIA uses AI tools in its recruiting processes.

This posting is for an existing vacancy.