Atoms

Atoms

Staff Cluster Infrastructure Engineer

San Francisco, CA · Staff+ · Full-time

Sponsorship not specified$224k-$284kDetected 6 days ago
PythonGoKubernetesTerraformLinux

About the role

  • Over the last decade, software has transformed the digital world.
  • But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained.
  • It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate.

Responsibilities

  • We're seeking a Cluster Infrastructure Engineer to join our founding team who will own the GPU compute fabric that trains our foundation models - optimizing the machines we have today, automating how we manage them, and laying the groundwork to scale as we grow.
  • Manage and automate our GPU training clusters, including provisioning, bootstrapping, and lifecycle management.
  • Build software abstractions that present a clean, unified interface to our training and simulation workloads.
  • Design our infrastructure to scale smoothly as we grow from a smaller cluster of machines toward a larger fleet.
  • Atoms is building the machines that power the next era of progress.
  • Atoms builds Physical AI - real-world robots for the industries that move civilization forward, starting with food, mining, and transport.
  • Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive.
  • We don't just build machines in a lab.
  • We exist to uncover valuable unknown truths and turn them into progress, which means constantly pushing beyond what's known and building what doesn't yet exist.
  • Atoms is a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate.

Requirements

  • 6+ years experience operating GPU compute on Kubernetes (or similar orchestration), with the judgment to scale it as demand grows.
  • Familiarity with Infrastructure-as-Code tools such as Terraform or CloudFormation.
  • Comfort with bare-metal Linux environments, GPU hardware, and networking.

Compensation

  • The base salary range for this role is $224,000 - $284,000 per year.

Benefits

  • Base salary is just one part of your total rewards package.
  • You may also be eligible for equity awards and an annual performance-based bonus.
  • Benefits Summary (USA Full-Time Exempt Employees):
  • Medical, Dental, Vision, Disability, and Life Insurance
  • Flexible Spending Account / Health Savings Account Options
  • Sick Time, Unlimited Flexible Time Off, and Paid Holidays
  • Paid Parental Leave
  • Pre-Tax Commuter Benefit Plan
  • Benefits are subject to change at the company's discretion.

Company info

  • Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We're changing that.
  • Atoms builds Physical AI - real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive.
  • This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don't just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale.
  • We are roboticists, engineers, operators, and builders.
  • We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life.
  • If you want to work on hard problems with real-world impact, join us.
  • We're changing that.
  • This work requires more than robotics.

This listing is sourced directly from Atoms's careers page and normalized into a canonical job model.