Senior Solutions Architect - Multimodal AI

NVIDIA; Marseille; Sur place; EUR 120 000 - 180 000; Plein temps

Résumé du poste

NVIDIA in Marseille is seeking a Senior Solutions Architect to drive multimodal AI solutions for document intelligence, training models and optimizing production deployments across image, video and text modalities.

You will partner with NVIDIA research and engineering to translate field insights into roadmaps for NeMo, TensorRT-LLM, Dynamo and RAPIDS, while engaging customers with technical talks, demos and reference blueprints.

Qualifications

• MS or PhD in Computer Science, Engineering, or equivalent.
• 7+ years in applied AI/ML focused on document understanding and visual content analysis.
• Proven track record in building or optimizing VLMs and Omni models.
• Familiarity with NVIDIA ecosystem: TensorRT-LLM, NeMo, RAPIDS.

Responsabilités

• Develop technical relationships with customers building multimodal AI systems for document intelligence and image/video analysis, guiding them from architectural planning through deployment.
• Advise on model training strategies across modalities including layout-aware encoders, user-item interaction models, and spatiotemporal video representations.
• Optimize vision encoders for production latency and efficient video sampling and temporal reasoning.
• Represent customer needs to NVIDIA product teams, contributing insights to roadmaps for NeMo, TensorRT-LLM, Dynamo and RAPIDS.
• Engage the developer community through hackathons, technical talks, demos, and reference blueprints.

Connaissances

Document understanding

Multimodal ML

Model optimization

Communication

Formation

MS or PhD in Computer Science or Engineering

Outils

TensorRT-LLM

NeMo

RAPIDS

Description du poste

Our team is looking for a Senior Solutions Architect with hands‑on experience 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, you will help customers tackle their most complex AI challenges, from building document intelligence pipelines to scaling text/image/video understanding applications for production. Working alongside NVIDIA research, engineering and product teams, you will translate modern AI technologies into accurate, production-ready solutions that deliver measurable business value.

What You’ll Be Doing

• 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: layout‑aware document encoders, user‑item interaction models, and spatiotemporal video representations.
• Tackle Vision content challenges: image resolutions, vision encoder optimization for production latency constraints, efficient video frame sampling, temporal reasoning.
• Represent customer needs directly 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.

What We Need To See

• MS or PhD in Computer Science, Engineering, or equivalent experience will be considered.
• 7+ years in applied AI/ML, having hands‑on experience on document understanding, 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 with research scientists, ML engineers, and business collaborators.

Ways To Stand Out From The Crowd

• You have built multimodal AI systems that handle multiple modalities (audio, video) and complex structures: layouts, tables, and multi‑page reasoning.
• Understanding of retrieval and search systems: dense retrieval, ANN indexing, re‑ranking pipelines.
• You have optimized vision encoders for production: quantization, pruning, or architectural changes to hit real latency budgets.
• You have published work or open‑source contributions in multimodal learning.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer www.nvidiabenefits.com/

NVIDIA is committed to fostering a diverse 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.

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. , ,