Fleet Server Hardware Engineer - Automation & Recovery

SpaceX; Palo Alto (CA); Presencial; USD 150.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Stock options

Company shuttles

Paid vacation

Descripción de la vacante

SpaceX's Starlink division seeks a Server Hardware Systems Engineer to own the health of the Starlink server fleet, from issue detection through repair and recovery. You will build telemetry and automation, coordinate with field technicians and data centers, and influence server design using fleet reliability data.

Office-based with field time encouraged. The role emphasizes automation-first practices, velocity, and cross-team collaboration across data centers and vendors.

Formación

• Bachelor’s degree or 2+ years in server hardware ops or SRE
• Experience troubleshooting enterprise server hardware in production
• Experience administering Linux systems
• Experience scripting in Python/Go/Bash

Responsabilidades

• Own end-to-end hardware repair lifecycle for Starlink server fleet
• Coordinate vendor support and on-site field work across data centers
• Build telemetry, alerting, and automation for diagnostics and recovery
• Define, measure and report fleet hardware metrics (MTTR, MTBF)
• Write runbooks and training material for NOC and field technicians
• Validate new server hardware (burn-in, firmware, configuration) and drive action with vendors

Conocimientos

Linux troubleshooting

Python

Go

Bash

Communication

Automation

Educación

Bachelor's degree in CS/CE/EE or related STEM

Herramientas

Redfish exporters

IPMI

OpenBMC

Prometheus

Grafana

iLO/iDRAC

nvme-cli

Descripción del empleo

SpaceX's Starlink division seeks a Server Hardware Systems Engineer to own the health of the Starlink server fleet, from issue detection through repair and recovery. You will build telemetry and automation, coordinate with field technicians and data centers, and influence server design using fleet reliability data.

Office-based with field time encouraged. The role emphasizes automation-first practices, velocity, and cross-team collaboration across data centers and vendors.