Senior AI Tools Engineer, SRE Operations

Vaga não está no LinkedIn

🕒 6 dias atrás

🏄 California – Remoto

🏄 California – Remote

💵 $144.000 - $230.000 / ano

⏰ Tempo Integral

🟠 Sênior

⛑ DevOps & Engenheiro de Confiabilidade do Site (SRE)

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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

• Build and deploy sophisticated AI-powered tools and products supporting operation and optimization of the global GeForce NOW service • Transform production data streams, including signals, metrics, and logs, into actionable intelligence • Automate root cause analysis for incidents and predict future service trends and patterns • Build and implement AI/ML tools to identify incident root causes and operational trends • Lead development of LLM- and agent-based systems to improve operational efficiency • Establish and maintain data management practices and pipelines for large-scale model-development data • Own and enhance LLM-based pipelines • Integrate knowledge of LLM progress into product development • Serve as an authority on AI frameworks and recommend platforms, toolsets, and architectures for long-term product sustainability

🎯 Requisitos

• B.S. in Computer Science, Statistics, or Engineering, or equivalent experience • 5+ years of experience • Strong proficiency in Python • Familiarity with Go or other systems languages is a plus • Practical experience building, optimizing, and deploying AI tools • Strong knowledge of AI developments and LLM-based platforms • Hands-on experience with Kubernetes and AWS cloud environments • Ability to distinguish meaningful AI advances from noise in technical decisions • Expertise in automation and large-scale data pipelines • Experience with monitoring and visualization tools such as Grafana • Excellent ability to handle, transform, and manage data sources and pipelines • Understanding of SRE principles and production-environment management is preferred • Experience with LLM improvement pipelines and recent LLM training developments is preferred • Knowledge of LLMs and AI models, including ability to recommend sustainable platforms and approaches

🏖️ Benefícios

• Equity • Benefits • Competitive salary package • Inclusive and supportive work environment