Senior Network Engineer — GPU Compute Fabric (Remote)

Andromeda

San Francisco (CA)

Ibrido

USD 140.000 - 230.000

Tempo pieno

36 ore fa
Candidati tra i primi

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Healthcare
Dental
Vision
401(k)
Unlimited PTO

Descrizione del lavoro

Andromeda is seeking a Network Engineer to design, deploy, and operate large-scale GPU fabrics for AI compute clusters. You will own the compute fabric, storage networking, and cabling, collaborating with the cluster architect and on-site deployment teams. This role reports to the Head of Infrastructure.

Responsibilities include fabric bring-up, performance testing, and day-to-day troubleshooting, plus building automation to ensure consistent, scalable deployments across multiple sites.

Competenze

  • Experience designing InfiniBand/RoCE fabrics for large GPU clusters.
  • Hands-on deployment and bring-up of networks in data centers.
  • Experience with automation and validation tooling.

Mansioni

  • Design and bring up compute fabric networks for GPU clusters.
  • Plan and validate storage and front-end networks capacity and interconnects.
  • Create cabling plans, optics BOMs, and labeling standards.
  • Fabric bring-up, performance testing, and sign-off for acceptance.
  • Provide Day 2 support and escalation for fabric issues.
  • Develop automation tooling to standardize builds across sites.

Conoscenze

InfiniBand fabrics
RoCE fabrics
NVIDIA UFM
Cumulus
SONiC
Python
Ansible
Automation

Strumenti

NVIDIA UFM
Cumulus Linux
SONiC
Python
Ansible

Descrizione del lavoro

Andromeda is seeking a Network Engineer to design, deploy, and operate large-scale GPU fabrics for AI compute clusters. You will own the compute fabric, storage networking, and cabling, collaborating with the cluster architect and on-site deployment teams. This role reports to the Head of Infrastructure.

Responsibilities include fabric bring-up, performance testing, and day-to-day troubleshooting, plus building automation to ensure consistent, scalable deployments across multiple sites.

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