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Staff Cluster Infrastructure Engineer

Join Atoms as a Staff Cluster Infrastructure Engineer to optimize and manage GPU compute clusters for real-world AI applications.

Location
San Francisco, CA
Compensation
$224k–$284k/yr
Level
staff
Type
full time · On-site

Posted by employer 4 months ago

First seen on Joblaze 1 month ago

Last verified on the company career page 18 hours ago

Apply at Atoms → Save job Scanned from atoms.co

AI in the day-to-day

We deploy real-world robots and systems that understand, predict, and control physical operations.

Requirements

Experience
6+ years

Not disclosed in this posting: visa sponsorship.

Benefits

401k Match Unlimited PTO Equity/Stock Options Health Insurance Parental Leave

Joblaze summary

The Staff Cluster Infrastructure Engineer at Atoms is responsible for managing and automating GPU training clusters, ensuring efficient provisioning and lifecycle management of hardware. This role requires expertise in Kubernetes and strong programming skills in languages like Python or Go, along with familiarity in Infrastructure-as-Code tools. Ideal candidates will have over six years of experience in GPU compute operations and a strong focus on automation and reliability. Atoms emphasizes a collaborative environment, where team members work closely to tackle complex challenges in physical automation.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Atoms's careers page October 27, 2026.
  • Salary band is above the typical range for AI/ML roles (median ~$190,000).
  • Starts above 46% of 97 comparable staff ai/ml roles in United States that list Python we track (median $230,000 across 40 companies). See Python salary trends
  • Python appears in 48.4% of 285 comparable staff ai/ml roles in United States; Linux appears in 0.7% of 285 comparable staff ai/ml roles in United States.

Quick facts

Is the Staff Cluster Infrastructure Engineer role remote?
No — this is an on-site role in San Francisco, CA.
What's the salary range?
Atoms lists $224,000–$284,000 for this role.
How much experience is required?
At least 6 years of relevant experience for this Staff Cluster Infrastructure Engineer role.
Where is the role based?
Atoms is hiring for this position in San Francisco, CA.
What's the tech stack?
Joblaze extracted these technologies from the posting: CloudFormation, GPU, Go, Kubernetes, Linux, Python.
What seniority level is this role?
Atoms targets staff-level candidates for this position.
Is this full-time or contract?
Full-time for this Staff Cluster Infrastructure Engineer role at Atoms.

From the original posting

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.

What you’ll do

We’re seeking a Staff 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.
  • Automate bare-metal bring-up so new machines come online quickly and reliably as we add capacity.
  • Build software abstractions that present a clean, unified interface to our training and simulation workloads.
  • Work at the hardware/software boundary, where speed and reliability are critical, continuously raising the bar for automation and uptime.
  • Run day-to-day operations: diagnose and resolve issues quickly when systems are under pressure.
  • Design our infrastructure to scale smoothly as we grow from a smaller cluster of machines toward a larger fleet.

What we’re looking for

  • 6+ years experience operating GPU compute on Kubernetes (or similar orchestration), with the judgment to scale it as demand grows.
  • Strong programming and scripting skills in Python, Go, or similar.
  • Familiarity with Infrastructure-as-Code tools such as Terraform or CloudFormation.
  • Comfort with bare-metal Linux environments, GPU hardware, and networking.
  • A bias toward automation, reliability, and operating critical systems well.

Why join us

At Atoms, you’ll work on one of the defining challenges of our time — bringing automation into the physical world to drive real, lasting impact. 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. The work is ambitious and often challenging, but it’s grounded in a shared sense of purpose and a team committed to seeing it through together. Our work only matters if it serves others, and we know that meaningful progress depends on the trust of the people we serve and the strength of our team — so we invest in both, creating an environment where you can do your best work and grow.

What else you need to know

This role is based in our San Francisco office. Atoms is a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That’s why all of our office-based teams work onsite, five days a week.

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

Base salary is just one part of your total rewards package. You may also be eligible for equity awards.

Benefits Summary (USA Full-Time Exempt Employees):

  • Medical, Dental, Vision, Disability, and Life Insurance
  • Flexible Spending Account / Health Savings Account Options
  • 401(k)
  • Equity
  • Sick Time, Unlimited Flexible Time Off, and Paid Holidays
  • Paid Parental Leave
  • Pre-Tax Commuter Benefit Plan
  • Team lunch in our SoMa office every Tuesday and Thursday

#LI-Onsite

Standard company text repeated across Atoms's postings is omitted here.

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