Skip to content
← Together AI

Technical Support Engineer (GPU Cluster), India

Together AI · Pune or Bangalore, India · Remote

CHECKED 2H AGO

Infrastructureremotemid-level
Apply on the lab’s site ↗

At a glance

Highlights

  • Be first line of defense helping customers build training and inference solutions.
  • Resolve complex technical challenges as product expert for GPU Cluster service.
  • Turn customer insights into action to drive AI platform roadmap improvements.

What they offer

  • Competitive compensation
  • Startup equity
  • Health insurance
  • Remote work flexibility

Ideal candidate

Deeply technical, customer-obsessed problem solver with support experience who thrives in fast-paced AI environments and loves collaborating across teams to ensure customer success.

Requirements

  • 3+ years in customer-facing technical role with at least 1 year in support for AI or mission-critical API in SaaS
  • Strong technical background with knowledge of AI, ML and GPU technologies in HPC environments
  • Familiarity with Kubernetes, SLURM, Ansible, network fabrics, NFS storage, containers and scripting
  • Understanding of installation, configuration, administration, troubleshooting and securing compute clusters
  • Complex technical problem solving with proactive approach to resolution
  • Ability to work cross-functionally and manage multiple projects in dynamic environments
  • Excellent communication skills with ability to explain complex concepts clearly
remote policy
Flexibility in terms of remote work for the respective hiring region

Lab profile

About Together AI

AI-native cloud for training and inference on large-scale GPU infrastructure for AI apps and agents.

What they build

  • AI-native cloud platform
  • GPU clusters for training and inference
  • Platform for AI applications and agents

Known for

  • Operating large-scale GPU fleets
  • Automated infrastructure at massive scale
  • Multi-site data center deployment

Key facts

  • Over 1M developers
  • Operates one of the world's largest GPU fleets
  • Infrastructure managing tens of thousands of GPUs
More about Together AI →
Apply on the lab’s site ↗