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Technical Support Engineer (GPU Clusters) - US Weekends

Together AI

Remote · Remote · full time

$160,000 – $230,000

Listed on Together AI’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

This role provides first-line technical support for customers deploying AI workloads on GPU clusters, requiring hands-on expertise in Kubernetes, HPC infrastructure, and distributed systems. It suits experienced SREs or DevOps engineers who want to move into customer-facing technical support while working a weekend shift schedule after an initial ramp-up period.

Our summary, not Together AI’s wording. The full posting is on their site.

Skills this role names

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What they ask for

Required

  • 3+ years customer-facing technical support experience
  • 1+ year supporting AI service or mission-critical API in SaaS
  • SRE or DevOps background with Kubernetes
  • Knowledge of AI, ML, GPU technologies and HPC integration
  • Advanced infrastructure services knowledge (Kubernetes, SLURM, Ansible)
  • Experience with HPC/SLURM cluster environments
  • Familiarity with high-speed networking (InfiniBand, RDMA)
  • Experience with distributed storage systems (Weka, NFS)
  • Foundational compute cluster administration and security knowledge
  • Complex technical troubleshooting ability
  • Cross-functional collaboration skills
  • Ownership mindset and willingness to learn
  • Clear communication of technical concepts to non-technical stakeholders
  • Ability to manage multiple priorities in dynamic environments

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