Senior Solutions Architect - AI Factory Deployment

What you'll do

• Set up and verify AI factory environments on multi-GPU Linux clusters.
• Execute key AI/LLM benchmarks and analyze results for performance optimization.
• Investigate and resolve issues in training jobs or benchmarks that fail or underperform.
• Build observability tools to monitor workload behavior and system health.
• Develop automation scripts for running benchmarks and collecting results.
• Recommend changes to improve throughput, latency, and scaling efficiency of AI workloads.

What we're looking for

• Over 6 years of experience managing Linux-based systems in HPC or extensive AI/ML settings.
• Hands-on experience with multi-GPU/multi-node clusters and NCCL.
• Solid understanding of collective communication patterns like AllReduce and AllToAll.
• Proficiency in Python and Shell/Bash for scripting, automation, and tooling.
• Experience with benchmarking and interpreting performance benchmarks.
• Comfortable working with observability data to troubleshoot complex distributed workloads.
• Strong cross-functional team collaboration and communication skills.