Senior Solutions Architect – Large Scale AI Inference

NVIDIA; Deutschland; Vor Ort; EUR 293.000 - 507.000; Vollzeit

Zusammenfassung

NVIDIA is seeking a Senior Solutions Architect to lead production AI inference initiatives across EMEA, collaborating with customers and partners to push the performance and reliability of the inference stack. You will guide deployments on multi-node GPU clusters, design MoE and transformer inference pipelines, and work with Dynamo, TensorRT-LLM, and NIXL to accelerate customer success.

Equally important is engaging with ML engineers and researchers to drive innovations and ensure scalable,

Qualifikationen

• MS or PhD in Computer Science, Engineering, High-Performance Computing, or equivalent professional experience.
• 5+ years of Neural Networks inference optimization experience.
• Strong understanding of transformers inference optimization: quantization, disaggregated inference, speculative decoding, continuous batching, KV cache optimization.
• Practical MoE inference experience at scale with expert parallelism, WideEP, all-to-all communication, routing overhead, and load balancing.
• Ability to engage with ML engineers, researchers, and systems architects at a deep technical level.

Aufgaben

• Guide EMEA AI Natives customers in deploying large-scale inference workloads on multi-node GPU clusters.
• Architect efficient inference pipelines for dense and sparse MoE models distributing workload among thousands of GPUs.
• Improve inference efficiency across quantization, speculative decoding, disaggregated prefill/decode, KV cache management for MoE deployments.
• Collaborate with NVIDIA product teams to accelerate customer success.
• Animate the AI inference developer’s community across EMEA through technical workshops, hackathons, and reference architectures.

Kenntnisse

Neural networks inference

Transformers inference optimization

MoE inference at scale

Stakeholder engagement

Ausbildung

MS or PhD in Computer Science/Engineering/HPC

Tools

NVIDIA Dynamo

NIXL

Grove

Jobbeschreibung

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 See

• 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.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer www.nvidiabenefits.com/

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The base salary range is 292,500 PLN - 507,000 PLN. , , JR2024433