Senior Solutions Architect – Large Scale AI Inference

Job not on LinkedIn

🔥 12 hours ago

🌐 France, United Kingdom, +4 more countries – Remote

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

• Guide EMEA AI Natives customers in deploying and optimizing large-scale inference workloads on multi-node GPU clusters • Architect efficient inference pipelines for dense and sparse/latent MoE models distributing workload among thousands of GPUs • Improve inference efficiency across quantization, speculative decoding, disaggregated prefill/decode, KV cache management, and WideEP for large MoE deployments • Collaborate with NVIDIA product teams, including Dynamo, TensorRT-LLM, and NIXL, to accelerate customer success • Animate the AI inference developer community across EMEA through technical workshops, hackathons, and reference architectures • Establish technical direction for scalable, high-performance AI inference across demanding production environments

🎯 Requirements

• MS or PhD in Computer Science, Engineering, High-Performance Computing, or equivalent professional experience • 5+ years of experience in Neural Networks inference optimization • Solid understanding of transformers inference optimization, including quantization, disaggregated inference, speculative decoding, continuous batching, and KV cache optimization • Practical experience in MoE inference at scale, including expert parallelism, WideEP, all-to-all communication, routing overhead, and load balancing at scale • Ability to engage effectively with ML engineers, researchers, and systems architects at a deep technical level • Hands-on experience with NVIDIA Dynamo, NIXL, Grove, or emerging disaggregated inference tooling • Understanding of GPU memory hierarchies and high-speed interconnects, including NVLink, InfiniBand, RDMA, and UCX • Contributions to advanced AI labs or large-scale AI infrastructure providers performing inference on thousands of GPUs • Published work or benchmarks in large-scale AI inference

🏖️ Benefits

• Highly competitive salaries • Comprehensive benefits package