Senior Solutions Architect – AI Factory Deployment

🕒 Abril 29

🏄 California, North Carolina, +1 estados a mais – Remoto

🏄 California – Remote 🌲 North Carolina – Remote 🤠 Texas – Remote

💵 $184.000 - $287.500 / ano

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

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NVIDIA

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1993

🤖 Inteligência Artificial

🎮 Jogos

Artificial Intelligence • Gaming • Automotive

A NVIDIA é uma empresa de tecnologia líder, especializada em computação acelerada e inteligência artificial. A companhia é pioneira em avanços em unidades de processamento gráfico (GPUs), computação em nuvem, data centers e realidade virtual, com foco nos setores de games, automotivo, saúde e robótica. As inovações da empresa, como o NVIDIA Omniverse, transformam processos digitais tradicionais ao viabilizar simulações de alta fidelidade e tarefas de renderização. Suas aplicações abrangem diversos setores, desde veículos autônomos com o NVIDIA DRIVE até soluções de saúde com o NVIDIA Clara, além de análises e fluxos de trabalho impulsionados por IA.

Descrição

• Set up, adjust, and verify AI factory environments across multi-GPU and multi-node Linux clusters. • Ensure configurations align with guidelines for NCCL, collectives, and distributed training frameworks. • Own the execution of key AI/LLM benchmarks, including setup, orchestration, result collection, and analysis. • Investigate and resolve issues when training jobs or benchmarks fail, hang, or underperform. • Build and improve observability for AI factories (metrics, logs, traces, dashboards) to understand workload behavior and system health. • Develop automation (Python, Shell) for running benchmarks, collecting results, and performing regression checks. • Examine communication patterns and NCCL usage for AI/LLM workloads, concentrating on collectives such as AllReduce and AllToAll. • Recommend changes to job configuration, parallelism strategies, and cluster settings to improve throughput, latency, and scaling efficiency. • Work closely with hardware, software, networking, datacenter, and product teams to prepare AI factories for customer use. • Contribute to documentation, guidelines, and readiness collateral that support internal collaborators and customer-facing teams.

🎯 Requisitos

• 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, distributed systems, or extensive AI/ML settings. • Hands-on experience running AI/ML workloads on multi-GPU and/or multi-node clusters, with practical knowledge of NCCL. • Solid grasp of collective communication patterns, particularly AllReduce and AllToAll, and how they are applied in contemporary ML/LLM training. • Familiarity with LLM training and/or inference workflows using frameworks such as PyTorch or TensorFlow. • Proficiency with Python and Shell/Bash for scripting, automation, and tooling. • Experience with benchmarking (crafting, executing, and interpreting performance benchmarks). • Comfortable working with observability data (metrics, logs, dashboards) to troubleshoot and optimize complex distributed workloads. • Strong communication skills and the ability to work effectively with cross-functional teams.

🏖️ Benefícios

• Eligible for equity and benefits