Senior Solutions Architect

Job Summary

Driving the validation of NVIDIA AI factories from first rack power-on through customer handoff, the full-time Senior Solutions Architect will manage the execution of AI/LLM workloads and benchmarks on Linux-based GPU clusters, operationalizing the validation process and collaborating with internal and external teams in a remote work environment.

Key responsibilities

• Set up and verify AI factory environments across multi-GPU and multi-node Linux clusters
• Own the execution of key AI/LLM benchmarks, including setup, orchestration, and result analysis
• Develop automation for running benchmarks and capturing results while improving observability for AI factories

Required qualifications

• Bachelor's degree or equivalent experience in Computer Science, Mathematics, Engineering, Physics, or related field
• More than 6 years of experience managing Linux-based systems in HPC or AI/ML settings
• Hands-on experience running AI/ML workloads on multi-GPU and/or multi-node clusters with knowledge of NCCL
• Proficiency with Python and Shell/Bash for scripting and automation
• Solid understanding of collective communication patterns, particularly AllReduce and AllToAll