Senior Solutions Architect – Large Scale AI Inference

NVIDIA

Senior Solutions Architect guiding EMEA customers deploying NVIDIA’s large-scale AI inference on GPU clusters. Optimizing MoE serving, interconnect-aware scheduling, and next-generation inference architectures.

Posted 9/8/2026full-timeRemote • 🇫🇷 FranceSenior💰 PLN 292,500 - PLN 507,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in optimizing large-scale AI inference workloads on multi-node GPU clusters, with a strong focus on transformers and MoE models. Engages effectively with technical teams and contributes to the AI developer community through workshops and collaborative projects.

Highest-signal resume keywords

Neural Networks Inference OptimizationTransformers Inference OptimizationMoE Inference At ScaleNVIDIA DynamoGPU Memory Hierarchies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Inference Pipeline ArchitectureQuantizationSpeculative DecodingContinuous BatchingKV Cache OptimizationExpert ParallelismLoad BalancingAll-To-All CommunicationRouting OverheadHigh-Performance Computing

Soft Skills

Effective Engagement With ML EngineersCollaboration With Product Teams

Tools & Technologies

NVIDIA NIXLNVIDIA GroveDisaggregated Inference ToolingNVLinkInfiniBandRDMAUCX

Certifications & Qualifications

MS or PhD in Computer ScienceEngineeringHigh-Performance Computing

Industry Keywords

AI InferenceLarge-Scale AI InfrastructureTechnical WorkshopsHackathonsReference Architectures

Tech Stack

Tools & technologies

Node.js

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Highly competitive salaries
Comprehensive benefits package