Senior AI Solutions Architect for Large-Scale GPU HPC

NVIDIA AI; Aillas; Sur place; EUR 120 000 - 180 000; Plein temps

Résumé du poste

NVIDIA AI is seeking a Senior Solutions Architect to deploy, optimize, and debug training and inference workloads on large-scale GPU clusters across Europe. You will collaborate with training framework developers, product teams, and customers to accelerate adoption of the latest NVIDIA frameworks and hardware.

You will diagnose bottlenecks in distributed AI workloads, profile performance, and guide customers on scaling workloads efficiently on the latest generation of NVIDIA GPUs, contributing

Qualifications

• BS, MS, PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related engineering field—or equivalent practical experience.
• 8+ years of experience in accelerated computing technologies at cluster scale, ideally including work with NVIDIA platforms.
• Strong programming skills in at least one of the following languages: C, C++, or Python.
• Practical experience identifying and resolving bottlenecks in large-scale training workloads or parallel applications.
• Hands‑on experienced in profiling and debugging large parallel applications.
• Solid understanding of CPU and GPU architectures, CUDA, parallel filesystems, and high-speed interconnects.
• Experienced in working with large compute clusters with an understanding of their internal scheduling and resource management mechanisms (e.g. SLURM or Cloud based clusters).
• Proficient knowledge of training pipelines and frameworks, encompassing their internal operations and performance attributes.

Responsabilités

• Collaborating with NVIDIA’s training framework developers and product teams to stay ahead of the latest features and help partners to adopt them effectively.
• Assisting with deployment, debugging, and improving the efficiency of AI workloads on extensive NVIDIA platforms.
• Benchmarking new framework features, analyzing performance, and sharing actionable insights with both customers and internal teams.
• Working directly with external customers to solve cluster performance and stability issues, identify bottlenecks, and implement effective solutions.
• Build expertise and guide customers in scaling workloads efficiently and reliably on the latest generation of NVIDIA GPUs.
• Contributing to Europe’s Sovereign AI initiative by helping customers implement advanced resiliency features within AI training pipelines.

Connaissances

C

C++

Python

Profiling

Debugging

Parallel computing

Cluster scaling

High performance computing

Formation

BS/MS/PhD in CS/EE/Physics/Math or related field

Outils

CUDA

SLURM

Nsight Systems

Nsight Compute

NCCL

MPI

TensorRT

Description du poste

NVIDIA AI is seeking a Senior Solutions Architect to deploy, optimize, and debug training and inference workloads on large-scale GPU clusters across Europe. You will collaborate with training framework developers, product teams, and customers to accelerate adoption of the latest NVIDIA frameworks and hardware.

You will diagnose bottlenecks in distributed AI workloads, profile performance, and guide customers on scaling workloads efficiently on the latest generation of NVIDIA GPUs, contributing