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Senior Software Engineer - Together Cloud Infrastructure

Together AI Indexed employerSan Francisco · San Francisco, California, United States
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Workplace

remote

Employment

Internship

Published

Aug 11, 2026

Closes

No date supplied

The role

About the Role

Together AI is building the AI Native Cloud, an end-to-end platform for the full

generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art

AI cloud infrastructure. The Together Cloud team builds the Together GPU Clusters

product, which provides high-performance, AI-ready GPU clusters through a self-serve

cloud console and is the virtualized infrastructure layer powering Together’s inference,

RL, and fine-tuning products.

As a Senior Software Engineer in Together Cloud Infrastructure, you will play a key role

in building the next generation AI cloud platform – a highly available, global, blazing-fast

cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s,

BlueField DPUs). You'll enable state-of-the-art ML practitioners with self-serve AI cloud

services, such as on-demand + managed Kubernetes and Slurm clusters, for both our

internal SaaS products (inference, fine-tuning, RL) and our external cloud customers,

spanning dozens of data centers across the world.

Responsibilities

• Design, build, and maintain performant, secure, and highly-available backend services/operators that run in our data centers and automate hardware management, such as Infiniband partitioning, in. DC parallel storage provisioning, and VM provisioning.

• Design and build out the IaaS software layer for a new GB200 data center with thousands of GPUs.

• Design and build distributed GPU scheduling and the global management plane that power on-demand and managed clusters across dozens of data centers

• Develop infrastructure that powers our internal inference, RL, and fine-tuning products in addition to external cloud customers

• Design and build systems that scale per-cluster capacity limits and automate the onboarding of new capacity

• Work on a global multi-exabyte high

Requirements

Department: Engineering