Scan your resume against ATS criteria for this Senior Solutions Architect – Large Scale AI Inference role at NVIDIA.
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.
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.
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.
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 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 http://www.nvidiabenefits.com/ 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
How to apply for Senior Solutions Architect – Large Scale AI Inference at NVIDIA?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
5+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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Senior Solutions Architect – Large Scale AI Inference
NVIDIA · France
