We are seeking a Senior Solutions Architect with deep expertise in large-scale neural network inference and a proven ability to lead technical collaboration with frontier AI labs and enterprises deploying AI at scale across EMEA. By aligning key team members within NVIDIA and customer organizations, you will influence strategic technology decisions to develop the deployment of next-generation AI inference at scale.
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, improving GPU utilization and AI cluster efficiency.
Translate customer insights and deployment patterns into actionable product feedback that develops the roadmap for NVIDIA stack such as Dynamo, TensorRT-LLM, and NIM.
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.
Understanding of GPU memory hierarchies and low-latency networking along with their influence on inference performance.
Experience with NVIDIA's inference stack, including TensorRT-LLM, Triton Inference Server, NIM, and NVIDIA Dynamo.
Experience with GPU orchestration on Kubernetes.
Contributions to open-source inference projects such as vLLM, SGLang, KServe, or NVIDIA Dynamo.