Technical Support Engineer – GPU Clusters

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $160k - $230k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📞 Support Engineer

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Together AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

💰 $102.5M Series A on 2023-11

Artificial Intelligence • SaaS • Enterprise

Together AI is a company focused on accelerating the generative AI lifecycle by providing solutions for training, fine-tuning, and deploying AI models. They offer an end-to-end platform for leveraging pre-trained models, adapting them to specific needs, or building custom models from scratch. Together AI supports AI compute solutions with its Together Inference engine and Together GPU Clusters, allowing for scalable and efficient AI operations. Their infrastructure is powered by advanced GPUs and optimized software stacks for high performance in AI tasks.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

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