GPU Cluster Support Engineer for AI HPC

Togetherai; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Together AI is seeking a Technical Support Engineer to be the first line of defense for customers building training, fine-tuning, and inference pipelines on our Kubernetes GPU clusters. You will work with the Customer Experience team, product, and sales to resolve complex issues and drive improvements.

This role requires deep technical know-how in AI, GPUs, HPC, and Kubernetes, with a strong focus on customer success, documentation, and cross-team collaboration.

Qualifications

• 3+ years of experience in a customer-facing technical role with 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 knowledge of AI, ML, GPU technologies and their integration into high-performance computing (HPC) environments
• Advanced knowledge with infrastructure services (e.g., Kubernetes, SLURM), infrastructure as code solutions (e.g., Ansible) high-performance network fabrics, NFS-based storage management, container infrastructure, and scripting and programming languages
• Experience with HPC/Slurm cluster environments — node draining, job scheduling, maintenance workflows
• Familiarity with high-speed networking concepts — InfiniBand, RDMA, network interface diagnostics
• Experience with distributed storage systems (e.g., Weka, NFS) and troubleshooting I/O and bandwidth issues

Responsibilities

• Engage with customers to resolve complex technical challenges on Kubernetes GPU clusters.
• Act as a customer-facing SRE to keep Kubernetes clusters healthy and stable.
• Become a product expert for GPU Cluster service; escalation to Eng/Prod as needed.
• Monitor GPU cluster health; report hardware issues with remediation steps.
• Maintain production infra for enterprise GPU customers including Slurm, GPU fleet rebalancing, and Kubernetes workload management.
• Investigate storage/network issues (Weka, InfiniBand, NFS) on bare-metal and VM environments.
• Collaborate with Engineering, Research, and Product to address customer concerns and roadmap inputs.
• Translate customer insights into roadmap inputs with GTM teams.
• Maintain detailed docs of configurations, procedures, troubleshooting guides, and FAQs.
• Provide flexible coverage during holidays, nights and weekends as required

Skills

Customer-facing

Kubernetes

AI/ML GPUs

SRE/DevOps

HPC environments

Networking concepts

IaC

Storage management

Tools

SLURM

Ansible

Docker

Job description

Together AI is seeking a Technical Support Engineer to be the first line of defense for customers building training, fine-tuning, and inference pipelines on our Kubernetes GPU clusters. You will work with the Customer Experience team, product, and sales to resolve complex issues and drive improvements.

This role requires deep technical know-how in AI, GPUs, HPC, and Kubernetes, with a strong focus on customer success, documentation, and cross-team collaboration.