Technical Support Engineer – GPU Clusters

🕒 August 4

🇺🇸 United States – Remote

💵 $160k - $230k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📞 Support Engineer

👻 Ghost score 17%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Support customers building training, fine-tuning, and inference solutions with Together AI • Resolve complex technical issues involving Kubernetes GPU clusters • Act as a customer-facing SRE to maintain healthy and stable customer Kubernetes clusters • Become the product expert and last line of technical defense for the GPU Cluster service • Monitor GPU cluster health and communicate hardware issues with remediation steps • Operate and maintain production infrastructure, including fleet rebalancing, Slurm maintenance, node repair or migration, and Kubernetes workload management • Investigate storage and networking issues involving Weka, InfiniBand, bare-metal, and VM environments • Collaborate with Engineering, Research, Product, Sales, and Go-To-Market teams • Identify support-case patterns and contribute to the product roadmap • Maintain documentation, procedures, troubleshooting guides, and FAQs • Provide support coverage during holidays, nights, and weekends as required

🎯 Requirements

• 3+ years of experience in a customer-facing technical role • At least 1 year in a support function for an AI service or supporting a mission-critical API in SaaS • Experience as an SRE or DevOps engineer working with Kubernetes • Strong technical background with AI, ML, GPU technologies, and HPC environments • Advanced knowledge of Kubernetes, SLURM, Ansible, high-performance network fabrics, NFS-based storage management, 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 • Understanding of compute cluster installation, configuration, administration, troubleshooting, and security • Complex technical problem-solving and troubleshooting skills • 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 • Ability to manage multiple projects, frequent context switching, and prioritization

🏖️ Benefits

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