Senior Solutions Architect, HPC and AI - Remote

Overview

We are seeking a Senior Solutions Architect with strong hands-on experience in deploying, debugging, and optimizing training and inference workloads on large-scale GPU clusters. As we support customers and partners across Europe in training models on ground breaking GPU infrastructure, we are looking for someone who enjoys solving complex challenges at the intersection of High Performance Computing and AI.

In Short

• Collaborate with NVIDIA’s training framework developers and product teams.
• Assist with deployment, debugging, and improving AI workloads on NVIDIA platforms.
• Benchmark new framework features and analyze performance.
• Work directly with customers to solve cluster performance issues.
• Guide customers in scaling workloads on NVIDIA GPUs.
• Contribute to Europe’s Sovereign AI initiative.
• Bring deep knowledge in accelerated computing technologies.
• Identify and resolve bottlenecks in training workloads.
• Hands-on experience with profiling and debugging parallel applications.
• Solid understanding of CPU and GPU architectures.

Requirements

• BS, MS, PhD or equivalent experience in relevant fields.
• 8+ years of experience in accelerated computing technologies.
• Strong programming skills in C, C++, or Python.
• Experience with large compute clusters and resource management.
• Proficient knowledge of training pipelines and frameworks.
• Ability to debug stability issues across the stack.
• Experience with performance profiling tools like Nsight Systems.
• Understanding of LLM frameworks such as PyTorch.
• Hands-on experience with performance optimizations.
• Solid understanding of high-speed interconnects.

Benefits

• Work with cutting-edge technology in AI and digital twins.
• Be part of a team transforming industries and society.
• Opportunity to collaborate with leading experts in the field.
• Contribute to impactful projects at a global scale.
• Access to professional development and growth opportunities.