Senior Solutions Architect – Multimodal AI

Job not on LinkedIn

🔥 12 hours ago

🌐 Poland, France, +3 more countries – Remote

🇵🇱 Poland – Remote 🇫🇷 France – Remote 🇬🇧 United Kingdom – Remote 🇪🇸 Spain – Remote 🇨🇭 Switzerland – Remote

💵 zł292.5k - zł507k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Develop technical relationships with customers building multimodal AI systems for document intelligence, personalization, and image/video analysis, from architectural planning through production deployment. • Guide customers on model training strategies across modalities, including layout-aware document encoders, user-item interaction models, and spatiotemporal video representations. • Address 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 product teams and translate field insights into roadmap decisions across NeMo, TensorRT-LLM, Dynamo, and RAPIDS. • Engage the developer community through hackathons, technical talks, demos, and reference blueprints. • Translate modern AI technologies into accurate, production-ready solutions delivering measurable business value.

🎯 Requirements

• MS or PhD in Computer Science, Engineering, or equivalent experience will be considered. • 7+ years in applied AI/ML. • Hands-on experience with document understanding and visual content analysis. • Proven track record 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. • Experience with multimodal AI systems handling multiple modalities, including audio and 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. • Experience optimizing vision encoders for production using quantization, pruning, or architectural changes. • Published work or open-source contributions in multimodal learning.

🏖️ Benefits

• Highly competitive salaries • Comprehensive benefits package • Equal opportunity employment