Technical Support Engineer – GPU Clusters

🕒 5 dias atrás

🏄 California – Remoto

🏄 California – Remote

💵 $160.000 - $230.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

📞 Engenheiro de Suporte

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Together AI

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🤖 Inteligência Artificial

☁️ SaaS

🏢 Corporativo

💰 $102.500.000 Series A em 2023-11

Artificial Intelligence • SaaS • Enterprise

A Together AI é uma empresa focada em acelerar o ciclo de vida da inteligência artificial generativa, fornecendo soluções para o treinamento, ajuste fino e implantação de modelos de IA. Eles oferecem uma plataforma completa para aproveitar modelos pré-treinados, adaptá-los a necessidades específicas ou construir modelos personalizados do zero. A Together AI apoia soluções de computação de IA com seu mecanismo Together Inference e os Clusters de GPU Together, permitindo operações de IA escaláveis e eficientes. Sua infraestrutura é alimentada por GPUs avançadas e pilhas de software otimizadas para alto desempenho em tarefas de IA.

Descrição

• Engage directly with customers to resolve complex technical challenges involving Kubernetes GPU clusters • Act as a customer-facing SRE to keep customer Kubernetes clusters healthy and stable • Become a product expert and serve as the last technical defense before escalation to Engineering and Product • Monitor GPU cluster health and communicate hardware issues with remediation steps • Operate and maintain production infrastructure, including fleet rebalancing, Slurm maintenance, node repair/migration, and Kubernetes workload management • Investigate and resolve storage and networking issues in bare-metal and VM environments • Collaborate with Engineering, Research, Product, Sales, Support, and senior leaders to address customer concerns and drive customer satisfaction • Identify support-case patterns and turn customer insights into roadmap improvements • Maintain documentation, troubleshooting guides, procedures, and FAQs • Provide holiday, night, and weekend coverage as required

🎯 Requisitos

• 3+ years of experience in a customer-facing technical role, including at least 1 year supporting an AI service or mission-critical SaaS API • Experience as an SRE or DevOps engineer working with Kubernetes • Knowledge of AI, ML, GPU technologies, and HPC environments • Advanced knowledge of Kubernetes, SLURM, Ansible, high-performance network fabrics, NFS storage, container infrastructure, scripting, and programming languages • Experience with HPC/Slurm cluster environments, including node draining, job scheduling, and maintenance workflows • Familiarity with InfiniBand, RDMA, and network interface diagnostics • Experience with distributed storage systems such as Weka and NFS, including I/O and bandwidth troubleshooting • Understanding of installing, configuring, administering, troubleshooting, and securing compute clusters • Complex technical problem-solving and proactive issue resolution • Ability to work cross-functionally with Sales, Engineering, Support, Product, and Research • Strong ownership and willingness to learn new skills • Excellent communication and interpersonal skills, including explaining technical concepts to non-technical stakeholders • Ability to manage multiple projects, context switching, and prioritization • Willingness to work US daytime hours, weekends, holidays, nights, and a four-day, 10-hour shift with weekend on-call coverage

🏖️ Benefícios

• Startup equity • Health insurance • Other benefits • Flexibility in terms of remote work