Our team is seeking a Senior Solutions Architect with hands-on experience in training and optimizing multimodal AI solutions for image and video document intelligence. In this role, you will serve as the technical expert for EMEA AI Natives companies building multimodal applications for content analysis and recommendations, using NVIDIA software and hardware stack to help customers address complex AI challenges.
Tasks
- Develop technical relationships with customers building multimodal AI systems for document intelligence, personalization, and image/video analysis, assisting from architectural planning through 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 constraints, efficient video frame sampling, and temporal reasoning.
- Represent customer needs to NVIDIA's product teams, translating field insights into roadmap decisions across NeMo, TensorRT-LLM, Dynamo, and RAPIDS.
- Engage the developer community through hackathons, technical talks, demos, and reference blueprints.
Requirements
- MS or PhD in Computer Science, Engineering, or equivalent experience will be considered.
- 7+ years in applied AI/ML with hands-on experience in document understanding and visual content analysis.
- Proven track record in building or optimizing VLMs and Omni models.
- Familiarity with NVIDIA's ecosystem: TensorRT-LLM, NeMo, RAPIDS, or equivalent training and inference frameworks.
- Excellent communication skills, comfortable working with research scientists, ML engineers, and business collaborators.
- You have built multimodal AI systems handling multiple modalities (audio, video) and complex structures such as layouts, tables, and multi-page reasoning.
- Understanding of retrieval and search systems, including dense retrieval, ANN indexing, and re-ranking pipelines.
- You have optimized vision encoders for production, including quantization, pruning, or architectural changes to meet real latency budgets.
- You have published work or open-source contributions in multimodal learning.
Benefits
- Highly competitive salaries.
- Comprehensive benefits package.
- NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer.
- No discrimination in hiring and promotion practices based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
- For Poland: The base salary range is 292,500 PLN - 507,000 PLN.
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Über uns
Das Team
Work alongside NVIDIA research, engineering, and product teams to translate modern AI technologies into accurate, production-ready solutions that deliver measurable business value.