Senior Vision Language Model Engineer

Unknown; Myrtle Point (OR); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA 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 collaborate with researchers to prototype VLMs/VLAs and contribute to NVIDIA Cosmos Dataset Search.

You will curate multimodal datasets, explore synthetic data sources, and integrate pipelines into production codebases while staying current with state-of-the-art in deep learning and agentic AI workflows.

Qualifications

• PhD with 4+ years, MS with 6+ years, or BS with 8+ years in CS/CE or a 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 iterative improvement.
• Experience with Python and at least one deep learning framework.
• Up-to-date with research on image/video search for autonomous vehicles, healthcare, robotics, or related Physical AI apps.
• Proficiency with agentic AI workflows across the research lifecycle, prototyping algorithms, search pipelines, and production integration.
• Clear communication skills and ability to collaborate in a dynamic, product- and research-focused team.

Responsibilities

• Partner with researchers to develop and evaluate prototypes of latest models (VLMs/VLAs) for video search and understanding.
• Enable advances in autonomous driving, healthcare, and robotics.
• Design and implement agentic data workflows to automate data discovery, labeling, evaluation, and retraining.
• Build, curate, and maintain multimodal datasets (video, sensor, language traces) for end-to-end AI problems.
• Explore and productize new data sources including simulation and synthetic data.
• Apply agentic AI workflows across the applied research lifecycle.
• Collaborate with research, model development, performance, and product teams; contribute to NVIDIA Cosmos Dataset Search.

Skills

Deep learning

Transformer models

Video modeling

Multimodal VLM

Foundation models

Python

DL frameworks

Communication

Education

PhD +4+ yrs

MS +6+ yrs

BS +8+ yrs

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.

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.

Applications for this job will be accepted at least until November 8, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an