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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Solutions Architect - Large Scale AI Inference - **Company:** NVIDIA Corporation - **Location:** Valbonne, France (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Computer Animation, Artificial Intelligence, Artificial Neural Networks, Computer Clusters, InfiniBand, Remote Direct Memory Access, AI Infrastructure, Graphics Processing Unit (GPU), Load Balancing, High Performance Computing, Large Language Models, Information Technology, TensorRT, Decoding - **Published:** September 10, 2026 - **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/France-Remote/Senior-Solutions-Architect---Large-Scale-AI-Inference_JR2024433 ## About the Role * 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: quantization, disaggregated inference, speculative decoding, continuous batching, KV cache optimization. * Practical experience in MoE inference at scale: 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. Ways to stand out from the crowd * Hands-on experience with NVIDIA Dynamo, NIXL, Grove, or emerging disaggregated inference tooling. * Understanding of GPU memory hierarchies and high-speed interconnects (NVLink, InfiniBand, RDMA, UCX). * You have contributed to advanced AI lab or large scale AI infrastructure providers performing inference on thousands of GPUs. * Published work or benchmarks in large-scale AI inference. ## Description We are looking for a Senior Solutions Architect with deep experience in large-scale production AI inference. You will collaborate with top EMEA AI Natives, AI infrastructure providers, and enterprises deploying AI at scale. As a trusted technical leader, you will ensure NVIDIA's inference stack achieves best performance, efficiency, and reliability. You will address the industry's toughest AI inference challenges at the intersection of AI and high-performance computing, driving innovations in areas such as multi-node Mixture-of-Experts (MoE) serving, interconnect-aware scheduling, memory-bound workload optimization, and next-generation inference architectures. Your work will establish the technical direction for scalable, high-performance AI inference across the most demanding production environments. What you will be doing: * 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 (INT4/FP8), speculative decoding, disaggregated prefill/decode, KV cache management, and WideEP for large MoE deployments. * Collaborate with NVIDIA product teams (Dynamo, TensorRT-LLM, NIXL) to accelerate customer success. * Animate the AI inference developer's community across EMEA through technical workshops, hackathons, and reference architectures. ## Related Videos - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) - [The Gashlycrumb Tinies of AI Networking You Must Know (or Languish!)](https://www.wearedevelopers.com/videos/2067-the-gashlycrumb-tinies-of-ai-networking-you-must-know-or-languish) - [Your Next AI Needs 10,000 GPUs. Now What?](https://www.wearedevelopers.com/videos/1590-your-next-ai-needs-10-000-gpus-now-what) - [Efficient deployment and inference of GPU-accelerated LLMs​](https://www.wearedevelopers.com/videos/929-efficient-deployment-and-inference-of-gpu-accelerated-llms) - [Trends, Challenges and Best Practices for AI at the Edge](https://www.wearedevelopers.com/videos/630-trends-challenges-and-best-practices-for-ai-at-the-edge) - [AI That Fits Your Business, Not the Other Way Around](https://www.wearedevelopers.com/videos/100148-ai-that-fits-your-business-not-the-other-way-around) ## Related Articles - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Got AI ideas but no money? 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