Technical Support Engineer (GPU Clusters) - US Weekends

Stack

Responsibilities

• ▹Engage directly with customers to resolve complex technical challenges involving Kubernetes GPU clusters
• ▹Act as a customer-facing SRE ensuring customer Kubernetes clusters remain healthy and stable
• ▹Become a product expert in the GPU Cluster service, serving as the last line of technical defense before Engineering and Product escalation
• ▹Monitor GPU cluster health and proactively communicate hardware issues (thermal throttling, BMC failures, missing GPUs, NVLink/InfiniBand degradation) with remediation steps
• ▹Operate and maintain production infrastructure for enterprise GPU customers, including fleet rebalancing, Slurm cluster maintenance, node repair/migration, and Kubernetes workload management
• ▹Investigate storage and networking issues such as Weka filesystem degradation, InfiniBand link failures, and bandwidth anomalies on bare-metal and VM environments
• ▹Collaborate across Engineering, Research, and Product teams to address customer concerns
• ▹Identify patterns in support cases to help drive the product roadmap
• ▹Maintain detailed documentation of system configurations, procedures, and troubleshooting guides
• ▹Provide flexible support coverage during holidays, nights, and weekends

Requirements

• ▹3+ years of experience in a customer-facing technical role, with at least 1 year supporting an AI service or mission-critical SaaS API
• ▹Experience as an SRE or DevOps engineer working with Kubernetes
• ▹Strong technical background with AI, ML, and GPU technologies integrated into HPC environments
• ▹Advanced knowledge of infrastructure services (Kubernetes, SLURM), infrastructure-as-code (e.g. Ansible), high-performance network fabrics, and NFS-based storage

Soft skills

About the company

Together AI is a pioneering AI company operating GPU clusters for customer training, fine-tuning, and inference workloads.