Senior Solutions Architect, HPC and AI

Nvidia logo Nvidia

📍 6 Locations

Scraped: Today

This role is remote with locations including the UK, Poland, Spain, Switzerland, and Germany.

What You'll Be Doing:

  • Collaborating with NVIDIA’s training framework developers to adopt new features.
  • Assisting with deployment and improving efficiency of AI workloads on NVIDIA platforms.
  • Benchmarking new features and sharing insights with customers and teams.
  • Solving cluster performance issues and implementing solutions.
  • Guiding customers in scaling workloads on NVIDIA GPUs.
  • Contributing to Europe’s Sovereign AI initiative.

What We Need To See:

  • BS, MS, PhD or equivalent in relevant fields.
  • 8+ years of experience in accelerated computing technologies.
  • Strong programming skills in C, C++, or Python.
  • Experience in profiling and debugging large parallel applications.
  • Understanding of CPU/GPU architectures and high-speed interconnects.
  • Knowledge of training pipelines and frameworks.

Ways To Stand Out:

  • Experience debugging training pipelines on large GPU clusters.
  • Hands-on experience with performance profiling tools.
  • Ability to debug across the entire stack.
  • Understanding of LLM frameworks and inference tools.

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