Senior Solutions Architect – Large Scale Neural Networks Inference

🕒 September 8

🌐 France, United Kingdom, +3 more countries – Remote

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

💵 zł292.5k - zł650k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 2%

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

• Lead the inference strategy for a portfolio of EMEA AI Natives customers, guiding engagements from initial proof of concept to production-scale deployments • Identify inference challenges across customer deployments, including latency, efficiency, cost per token, memory utilization, and low-latency networking • Architect and optimize high-performance inference pipelines using NVIDIA Dynamo, TensorRT-LLM, vLLM, SGLang, and other inference backends • Improve GPU utilization and AI cluster efficiency • Translate customer insights and deployment patterns into actionable product feedback • Develop the roadmap for the NVIDIA stack, including Dynamo, TensorRT-LLM, and NIM • Define the technical direction for AI inference across EMEA • Align NVIDIA and customer organization stakeholders to influence strategic technology decisions for next-generation AI inference at scale

🎯 Requirements

• MS or PhD in Computer Science, Engineering, or equivalent experience in the field • 8+ years in AI/ML infrastructure, with deep expertise in LLM/VLM inference optimization and production deployment at scale • Deep understanding of transformer inference acceleration: quantization (INT4/FP8), speculative decoding, disaggregated inference, continuous batching, KV cache optimization, and WideEP for MoE models • Understanding of GPU memory hierarchies and low-latency networking and their influence on inference performance • Proven track record to lead technical initiatives • Excellent communication skills, effective with research scientists, infrastructure engineers, and executive team members • Experience with NVIDIA's inference stack, including TensorRT-LLM, Triton Inference Server, NIM, and NVIDIA Dynamo • Experience with GPU orchestration on Kubernetes • Experience operating inference at scale inside a frontier AI lab or hyperscale's inference team • Contributions to open-source inference projects such as vLLM, SGLang, KServe, or NVIDIA Dynamo

🏖️ Benefits

• Highly competitive salaries • Comprehensive benefits package