Senior AI Networking Systems Engineer (SDN)

Crusoe

San Francisco (CA)

On-site

USD 170,000 - 205,000

Full time

14 days+
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Benefits offered by this job

RSUs
Health insurance
401(k) with match
Paid parental leave
Life insurance
Teladoc
Commuter benefit

Job summary

Crusoe is seeking a Production Engineer for our SDN-focused team, responsible for maintaining the reliability and scalability of Crusoe Cloud networking services that power AI workloads. You will build automated, self-healing tooling and work closely with network engineers to optimize overlays, service meshes, and data planes for large-scale clusters.

You will troubleshoot incidents with deep telemetry, tune performance, and contribute to fault-tolerant SDN backends for AI-first cloud

Qualifications

  • Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field or equivalent practical experience.
  • 5+ years of professional experience in PE, systems, or networking engineering.
  • Automation of network provisioning, configuration, and remediation.

Responsibilities

  • Build automation and self-healing tools to monitor and maintain Crusoe's SDN infrastructure.
  • Drive reliability initiatives: routing convergence, traffic engineering, fault isolation.
  • Support user-facing networking services focusing on availability, latency, and performance.
  • Investigate incidents using telemetry, flow logs, and packet analysis, and collaborate with kernel teams.

Skills

Python/Go/C
Automation
SDN platforms
Kubernetes
Linux networking

Education

Bachelor's degree in Computer Science, Electrical Engineering, or related field

Tools

Terraform
Ansible
Puppet
Open vSwitch
Calico
Cilium

Job description

Crusoe is seeking a Production Engineer for our SDN-focused team, responsible for maintaining the reliability and scalability of Crusoe Cloud networking services that power AI workloads. You will build automated, self-healing tooling and work closely with network engineers to optimize overlays, service meshes, and data planes for large-scale clusters.

You will troubleshoot incidents with deep telemetry, tune performance, and contribute to fault-tolerant SDN backends for AI-first cloud

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