Network Engineer

Andromeda Cluster; Oregon; Hybrid; USD 140,000 - 190,000; Full time

Job summary

Andromeda Cluster is seeking a Network Engineer to design, deploy, and operate large-scale GPU clusters for AI labs and compute providers in San Francisco. The role focuses on building high-performance network fabrics, storage interconnects, and out-of-band management, with travel up to 25%.

You will partner with the Cluster Architect and on-site deployment engineers to validate designs, implement templates, and ensure reliable, scalable networking for demanding ML workloads across multiple

Qualifications

• Experience bringing up InfiniBand or RoCE fabrics for clusters of 1,000+ GPUs.
• Experience with NVIDIA UFM and switch OS such as Cumulus or SONiC.
• Knowledge of optics, transceivers, and high-density cabling.
• Proficiency in Python and Ansible or similar for configuration and validation.
• Experience with GB200 or GB300 NVL72 rack-scale systems.
• Data center interconnect and cloud interconnect design.
• Experience collaborating with customer ML infrastructure teams.

Responsibilities

• Design and bring up networks in GPU clusters including compute fabric, storage network, front-end, and out-of-band management.
• Work with the Cluster Architect on design and with deployment engineers on site through validation.
• Report to the Head of Infrastructure.
• Create configuration templates and tooling to start builds from a known-good baseline.
• Serve as escalation point for fabric issues during deployment and Day 2.

Skills

InfiniBand fabrics

RoCE fabrics

NVIDIA UFM

Cumulus

SONiC

Optics

Transceivers

High-density cabling

Python

Ansible

Tools

Python

Ansible

NVIDIA UFM

Cumulus

SONiC

Job description

Network Engineer

Location: San Francisco, CA / Remote (US) · Full-Time · Travel up to 25%

About Andromeda

Andromeda is a market and infrastructure platform to buy, sell, and operate compute.

We believe demand for compute will grow exponentially. So fast that a handful of vertically integrated providers won't be able to scale across operations, capital, supply chains, and politics to serve it. The result is a massive wave of fragmentation, with AI factories of every shape and size coming to market to fill this demand. Our job is to enable all of that fragmented compute to flow through one platform, delivering reliable capacity to model builders, research labs, and inference providers when they need it.

We believe every spare electron should be made productive for AI and we're building the platform that makes that possible.

We sit at the center of three forces:

• Companies that need reliable, high-performance compute fast
• A fragmented global supply of GPUs across hyperscalers, neoclouds, and independent data centers
• Capital, risk, and operational complexity that most teams are not equipped to manage

When we succeed, trillions of dollars of compute will flow through Andromeda. Builders get capacity when they need it. Providers get a reliable way to monetize, operate, and finance infrastructure at scale. Capital gets an easy way to deploy, hedge, and underwrite. In five years, Andromeda won't just participate in the AI infrastructure market. We will shape it.

The Role

Andromeda's infrastructure team designs, deploys, and operates large-scale GPU clusters for AI labs and compute providers. The Network Engineer designs and brings up the networks in our GPU clusters: compute fabric, storage network, front-end, and out-of-band management. You work with the Cluster Architect on design and with deployment engineers on site through validation. You report to the Head of Infrastructure.

What You'll Own

• InfiniBand (NDR, XDR) and Spectrum-X Ethernet fabrics, including rail-optimized topologies and NVLink domain integration.
• Design and capacity planning for storage traffic, tenant access, and internet and cloud interconnect.
• Cabling plans, optics BOMs, and labeling standards integrators can build from.
• Fabric bring-up, NCCL and fabric performance testing, and sign-off for acceptance.
• Escalation point for fabric issues during deployment and in Day 2.
• Configuration templates and tooling so each build starts from a known-good baseline.

What We're Looking For

• Hands-on design and bring-up of InfiniBand or RoCE fabrics for clusters of 1,000+ GPUs.
• Experience with NVIDIA UFM and switch operating systems such as Cumulus or SONiC.
• Practical knowledge of optics, transceivers, and high-density cabling.
• Python and Ansible or similar for configuration and validation.

Strong Candidates May Have

• Experience with GB200 or GB300 NVL72 rack-scale systems.
• Data center interconnect and cloud interconnect design.
• Experience working directly with customer ML infrastructure teams.

Why You'll Love It Here

• Own the network design standard for our clusters
• Work on current and next-generation fabrics across many sites and customers
• High talent density, high trust team shaping the compute market

Comprehensive benefits for you and your dependents, including healthcare, dental, and vision coverage, 401(k), and unlimited PTO

Andromeda Cluster is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.