Senior Solutions Architect, Cloud Partner Operations

🕒 Agosto 21

🏄 California – Remoto

🏄 California – Remote

💵 $224.000 - $356.500 / ano

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 15%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Por que essa pontuação:

• Aberta há 81 dias.
• As vagas desta empresa costumam ser preenchidas em 36 dias.

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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

• Solve hard Day 2 operations problems at scale alongside partner engineers • Find causes, prototype approaches, validate solutions under representative load, and leave operational practices partners can run • Help partners prepare operating models for new NVIDIA platforms, capacity, services, and use cases • Drive adoption in live environments without degrading service • Improve reliability, performance, and economics using incident frequency, recovery time, utilization, and cost-per-token measures • Identify and help close Day 2 maturity gaps across people, process, tooling, telemetry, security, and incident response • Convert validated work into operating procedures, reference architectures, assessments, automation, and agentic workflows • Spot cross-partner patterns and provide field evidence to account teams, support, product, and engineering • Improve NVIDIA's factory planning function

🎯 Requisitos

• BS, MS, or PhD in Computer Science, Electrical or Computer Engineering, Physics, Mathematics, or a related field - or equivalent experience • 12+ years in production infrastructure, cloud engineering, solutions architecture, site reliability engineering, HPC, or a similar technical role; alternatively, 5+ years of exceptional specialist-level work in large-scale GPU or AI infrastructure • Experience building, operating, or improving distributed infrastructure under real production load • Deep expertise in at least one part of the Day 2 stack, backed by hands-on work with large-scale GPU, HPC, or cloud infrastructure • Working experience with Kubernetes or Slurm, GPU scheduling and multi-tenancy, Prometheus, Grafana or OpenTelemetry, and automation with Terraform, Ansible, Argo CD, or similar tooling • Strong Linux knowledge and enough Python, Bash, or similar experience to automate measurement, diagnosis, validation, or remediation • Detailed evidence-led troubleshooting across system boundaries • Ability to lead sophisticated work with partner engineers and cross-functional teams without direct authority • Strong communication, prioritization, and time-management skills across multiple partner engagements • Real world experience operating a GPU cloud, HPC environment, or large-scale AI platform under customer load • Experience building or maturing a 24/7 operations function, including observability, incident and problem management, coverage, and on-call design • Hands-on experience with NVIDIA rack-scale platforms such as GB200 or GB300 NVL72, or NVIDIA operations technologies such as Spectrum-X, UFM, Base Command Manager, Mission Control, and GPU or Network Operators • Experience improving fleet health or unit economics through benchmarking, infrastructure as code, GitOps, automated diagnosis, or agent-based remediation

🏖️ Benefícios

• Competitive salaries • Generous benefits package • Equity • Benefits

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