Back to the role

Together AI

Remote-friendly · Bangalore India

Prepare your application for Staff Engineer, Distributed Storage and HPC & AI Infrastructure.

Atlas uses this posting and the experience already in your resume. It proposes each meaningful change for review before anything is saved.

What the role is asking for

About the Role In this role, you will operate, scale, and optimize multi-petabyte storage systems purpose-built for the world’s largest AI training and inference workloads. You’ll manage and scale high-performance parallel filesystems and object stores, evaluate and integrate cutting-edge technologies such as Vast, Weka, Ceph, and Lustre, and solve the complex engineering challenges of operating at extreme throughput, low-latency data paths, and massive cluster-scale storage operations. You will also build Kuber…

Read the original posting

Build a truthful, role-specific version.

This is a working copy, not an automatic rewrite. Atlas can improve focus and evidence, but it cannot add experience you do not have.

  1. 1CompareMap the role requirements to evidence already in your resume.
  2. 2ProposePrepare focused edits and explain why each one helps.
  3. 3ReviewAccept, revise, or reject every meaningful change before export.

Continue with Google. Atlas prepares reviewable suggestions for Staff Engineer, Distributed Storage and HPC & AI Infrastructure at Together AI; nothing is saved until you approve it.

No invented experience, no automatic application, and no saved change without your approval.