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Staff HPC Network Engineer

Join Atoms as a Staff HPC Network Engineer to design and optimize high-performance networks for GPU compute environments.

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 2 months ago

Last verified on the company career page 7 hours ago

Apply at Atoms → Save job Scanned from atoms.co

Not disclosed in this posting: years of experience, visa sponsorship.

Benefits

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

Joblaze summary

The Staff HPC Network Engineer at Atoms is responsible for designing and managing a high-performance network that supports GPU and CPU compute environments, ensuring low-latency connectivity for training and simulation tasks. Key skills include experience with network design, capacity planning, and familiarity with various networking platforms and tools. This role is ideal for someone with a strong background in high-performance computing networks and project management, looking to contribute to a pioneering team focused on real-world automation challenges.

Joblaze insights

  • Listed about 2 months ago — first seen on Joblaze September 3, 2026. Last confirmed on Atoms's careers page November 4, 2026.
  • Salary band is above the typical range for comparable tech roles (median ~$128,000).
  • Starts above 89% of 27 comparable staff other roles in United States that list Python we track (median $188,275 across 17 companies). See Python salary trends
  • Python appears in 14.5% of 289 comparable staff other roles in United States; Azure appears in 0.3% of 289 comparable staff other roles in United States.

Quick facts

Is the Staff HPC Network 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.
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: AWS, Ansible, Arista, Azure, CPU, Cisco.
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 HPC Network 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 HPC Network Engineer to join our founding team who will design and run the high-performance network that connects our GPU compute — building a fast, reliable fabric today and the architecture to scale it as our cluster grows.

  • Design, optimize, and scale the high-performance network fabric that interconnects our GPU and CPU compute.
  • Build the low-latency networking that keeps our training and simulation workloads fed and fast.
  • Own capacity planning and lead network projects end to end, from design through deployment.
  • Partner with vendors to select and engineer switches that set us up for the next stage of compute growth.
  • Develop scripts and processes that automate network operations and increase efficiency.
  • Collaborate across the infrastructure team to solve cross-discipline problems with immediate operational impact.

What we’re looking for

  • Experience designing, deploying, and scaling networks for HPC or GPU compute environments.
  • Hands-on experience managing switches across platforms such as Arista (EOS), Cisco (NX-OS), Nvidia (Cumulus), and/or SONiC.
  • Solid capacity-planning and project-management skills, with the judgment to scale as we grow.
  • Packet decoding/analysis (tcpdump, Wireshark) and knowledge of fiber optics and high-speed cabling up to 800 Gbps.
  • Familiarity with public cloud networks (AWS, GCP, Azure) and config management (Ansible, Salt).
  • Familiarity with Python, Prometheus, Grafana, ELK, and GitHub; awareness of data center power and cooling.
  • Meticulous attention to detail, proactive problem-solving, and excellent communication.

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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