Senior Solutions Architect - Multimodal AI

NVIDIA is a widely recognized technology employer committed to fostering a diverse work environment and equal opportunity employment.

• MS or PhD in Computer Science, Engineering, or equivalent experience.
• 7+ years in applied AI/ML with hands-on experience in document understanding and visual content analysis.
• Proven experience building or optimizing visual-language models (VLMs) and Omni models.
• Familiarity with NVIDIA's ecosystem including TensorRT-LLM, NeMo, and RAPIDS or equivalent training and inference frameworks.
• Excellent communication skills suitable for interactions with research scientists, ML engineers, and business collaborators.

Nice to have:

• Experience building multimodal AI systems handling multiple modalities (audio, video) and complex structures like layouts, tables, and multi-page reasoning.
• Understanding of retrieval and search systems such as dense retrieval, ANN indexing, and re-ranking pipelines.
• Experience optimizing vision encoders for production through quantization, pruning, or architectural changes.
• Published work or open-source contributions in multimodal learning.

• Develop technical relationships with customers building multimodal AI systems for document intelligence, personalization, and image/video analysis, assisting them from architectural planning through to deployment in production.
• Guide customers on model training strategies across modalities including layout-aware document encoders, user-item interaction models, and spatiotemporal video representations.
• Tackle vision content challenges such as image resolutions, vision encoder optimization for production latency, efficient video frame sampling, and temporal reasoning.
• Represent customer needs to NVIDIA's product teams, influencing roadmap decisions across NeMo, TensorRT-LLM, Dynamo, and RAPIDS.
• Engage the developer community via hackathons, technical talks, demos, and reference blueprints.

• Equal opportunity employer. No discrimination based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other protected characteristic by law.