Senior AI Infrastructure Engineer, LLM/AI Platforms

🕒 Julho 7

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $140.000 - $215.000 / ano

⏰ Tempo Integral

🟠 Sênior

👷 Engenheiro de Infraestrutura

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

CrowdStrike

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 2011

🔒 Cibersegurança

☁️ SaaS

🤖 Inteligência Artificial

Cybersecurity • SaaS • Artificial Intelligence

A CrowdStrike é uma empresa de cibersegurança que oferece serviços de segurança em nuvem para impedir violações. É reconhecida como líder em proteção de endpoints, segurança de identidade e de nuvem, e detecção e resposta gerenciadas (MDR). A plataforma da CrowdStrike, Falcon, integra inteligência artificial para oferecer visibilidade, detecção e proteção em tempo real contra ameaças cibernéticas sofisticadas. A empresa é elogiada por sua eficácia na proteção de redes e dados, tornando-se um parceiro de confiança para empresas no mundo todo.

Descrição

• Provision and configure large GPU clusters and compute resources for LLM training, finetuning, and inference workloads. • Develop and optimize LLM model-serving infrastructure, including deployment and optimization of various inference frameworks. • Lead model lifecycle management including versioning, checkpointing and reproducibility across training and inference deployments. • Design and champion robust evaluation frameworks to assess model performance, accuracy, and reliability, ensuring AI systems are consistently at production-ready standards. • Identify and address GPU utilization and GPU memory efficiency bottlenecks and apply techniques like quantization, batching, and caching. • Architect and maintain data platforms and pipelines specifically designed to support LLMs, Retrieval-Augmented Generation (RAG), and AI Agentic Systems at scale. • Deliver production-ready code with a focus on performance, maintainability, and testing rigor, ensuring the ability to ship fast without compromising quality. • Apply expertise in data modeling, normalization, and semantic cataloging for AI/ML workloads. • Define and enforce best practices for MLOps/DataOps surrounding LLMs, including monitoring, observability, and zero-touch recovery mechanisms for AI services. • Document architectural designs thoroughly and communicate technical decisions clearly to stakeholders. • Collaborate across the organization with Data Scientists, Product Managers, and other engineering teams to transform research prototypes into robust, production-grade services.

🎯 Requisitos

• Bachelor’s degree in Computer Science, Data Engineering, or a related STEM field; Master’s degree preferred • 6+ years of experience in Infrastructure/Data Engineering, with at least 2 years focused on building and maintaining platforms/pipelines that support LLM-based systems and applications • Demonstrable hands-on experience in LLM infrastructure engineering including cluster provisioning, optimizing training workloads, and maintaining inference pipelines • Exceptional ability to write clean, elegant, performant, and well-tested code, coupled with a strong focus on action and delivering results quickly • Thorough understanding of engineering practices including effective peer code reviews and resilient architecture design • Demonstrates technical leadership and mentorship capabilities • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

🏖️ Benefícios

• Market leader in compensation and equity awards • Comprehensive physical and mental wellness programs • Competitive vacation and holidays for recharge • Paid parental and adoption leaves • Professional development opportunities for all employees regardless of level or role • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections • Vibrant office culture with world class amenities • Great Place to Work Certified™ across the globe