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Staff Software Engineer - AI Compute, Together Cloud

Together AI · San Francisco

CHECKED 2H AGO

Infrastructureonsitestaff$260k–$300k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build next-gen AI cloud powering inference, RL and fine-tuning products.
  • Architect global control plane spanning dozens of data centers.
  • Lead build-out of new Vera Rubin data center with thousands of GPUs.

What they offer

  • startup equity
  • health insurance
  • flexibility in terms of remote work

Ideal candidate

Deeply technical systems builder and clear communicator who thrives in ambiguity and loves architecting large-scale infrastructure. You lead through influence, set high engineering standards, and mentor others to ship reliable platforms fast.

Requirements

  • Deep experience with VMs/hypervisors such as QEMU/KVM, VFIO, virtio and SR-IOV
  • Deep experience with DC networking such as VLAN, VXLAN, VPC and OVS/OVN
  • Experience virtualizing GPUs and/or InfiniBand
  • Experience building IaaS or PaaS systems at scale
  • Experience with DPUs/SmartNICs
  • Experience with Cluster API or similar
  • GPU programming, NCCL, CUDA knowledge

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 ↗