Senior Solutions Architect – Large Scale AI Inference

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. What we need to