Senior Solutions Architect, AI and HPC Infrastructure

🕒 Outubro 31

🤠 Texas – Remoto

🤠 Texas – Remote

💵 $184.000 - $356.500 / ano

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 11%

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NVIDIA

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1993

🏥 Saúde

🏭 Manufatura

🤖 Inteligência Artificial

Healthcare • Manufacturing • Artificial Intelligence

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

• Partner with energy-sector customers, ISVs, and account teams on discovery, architecture reviews, technical deep dives, POCs, benchmarks, demos, and production deployment guidance • Advise on the design, build-out, and optimization of accelerated AI infrastructure, including large-scale GPU clusters, AI factories, and edge deployments • Support infrastructure design across compute, networking, storage, containers, observability, security, power, and data center operations • Drive adoption of systems monitoring, telemetry, and management tools to improve cluster utilization, reliability, performance, and workload insight • Document learnings and teach others through targeted samples, whitepapers, blogs, and customer problem-solving • Build reference architectures, deployment guides, sizing guidance, benchmark reports, technical playbooks, demos, and whitepapers • Partner strategically with flagship customers and industry-specific solution partners • Collaborate with internal developers, researchers, data scientists, senior leaders, product, engineering, sales, developer relations, business development, and partner teams • Serve as a technical advisor for accelerated systems architecture, GPU and networking systems, cluster design, orchestration, validation, and production deployment for AI data centers and edge environments

🎯 Requisitos

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, other Engineering, or related field (or equivalent experience) • 8+ years of hands-on experience in AI infrastructure, accelerated computing, distributed systems, cloud infrastructure, high-performance computing, or machine learning platforms • Strong experience designing, deploying, and operating accelerated computing infrastructure at scale • In-depth knowledge of AI cluster orchestration, scheduling, automation, and CI/CD deployment pipelines • Understanding of InfiniBand, Ethernet, RDMA, network configuration, and performance tuning • Familiarity with distributed training, inference serving, model deployment, storage performance, and cluster reliability • Working knowledge of one or more energy sectors and their operational and IT environments • Experience with AI factories, large GPU clusters, multi-node training environments, or production inference platforms • Experience deploying LLM training, fine-tuning, RAG, and inference workflows • Experience evaluating cluster performance using MLPerf, HPL, or workload-specific performance tests • Knowledge of OpenMPI, NCCL, distributed training frameworks, and GPU communication patterns • Comfort with Docker/Containers and Kubernetes • Excellent presentation, communication, problem-solving, documentation, and collaboration skills • Strong problem structuring and self-direction to drive ambiguous, multi-stakeholder projects to results

🏖️ Benefícios

• Equity • Benefits • Remote work arrangement • Travel up to 20% for customer meetings may be required

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