Support Engineer, GPU Infrastructure

Hydra Host

. Diagnose Linux server issues end to end, including boot and network boot failures, kernel and driver problems, filesystems, storage pressure, services, memory and CPU behavior, and instability .

Posted 9/15/2026full-timeRemote • Florida • United StatesMid-LevelSenior💰 $95,000 - $130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong expertise in diagnosing and troubleshooting Linux server issues, including hardware and network problems, while effectively managing incidents and communicating with technical customers. Proficient in scripting and contributing to infrastructure management and operational improvements.

Highest-signal resume keywords

Linux TroubleshootingOut-Of-Band ManagementServer Hardware ExperienceIncident Management SystemsScripting with Python or Bash

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Linux Server DiagnosisTCP/IP KnowledgeHardware Failure DiagnosisNVIDIA GPU TroubleshootingRAID ConfigurationFirmware ManagementNetwork UtilitiesSystemd LogsStorage ToolingFault-Domain Reasoning

Soft Skills

Clear Written CommunicationProblem-SolvingCollaboration

Tools & Technologies

IPMIRedfishIDRACILOPrometheusGrafanaAnsibleTerraformNetBoxDistributed Storage

Industry Keywords

Data Center InfrastructureBare Metal EnvironmentsCloud EnvironmentsHPCAI Training Environments

Tech Stack

Tools & technologies

AnsibleCloudDACDNSGrafanaLinuxPrometheusPythonTCP/IPTerraform

About the role

Key responsibilities & impact

Diagnose Linux server issues end to end, including boot and network boot failures, kernel and driver problems, filesystems, storage pressure, services, memory and CPU behavior, and instability
Diagnose hardware failures using out-of-band management, sensor data, POST and boot errors, SMART data, and vendor diagnostics
Isolate server-side network problems involving NICs, drivers, VLANs, addressing, routing, MTU, DNS, DHCP, bonding, link state, and packet captures
Troubleshoot NVIDIA GPU servers, including GPU availability, thermal throttling, driver and VBIOS mismatch, PCIe, XID errors, and host-level conditions
Separate hardware, OS, network, application, and configuration issues before escalation
Own incidents through resolution or clean handoff, set severity by blast radius, and identify related tickets
Escalate to engineering with evidence packs and participate in root cause analysis and post-incident reviews
Coordinate with data center partners on remote hands, reboots, cabling, optics checks, component replacement, and physical inspection
Open and track hardware RMAs with OEMs through replacement and validate repaired or replaced equipment
Maintain accurate asset records and support server turn-ups, migrations, and decommissions
Communicate clear cause and timeline updates to technically sophisticated customers
Write and improve runbooks, operational procedures, categories, and closure reasons
Build Python, Bash, or similar scripts and tools for health checks, data collection, and routine operations
Contribute to infrastructure-as-code, configuration management, monitoring, alerting, and support workflow improvements
Work a defined shift, participate in an escalation rotation, and provide written shift handoffs

Requirements

What you’ll need

Three or more years supporting production servers, data center infrastructure, or bare metal and cloud environments
Strong hands-on Linux troubleshooting, including logs, dmesg, systemd, storage tooling, and network utilities
Experience with server hardware, including CPU and memory, storage and filesystems, RAID, PCIe, NICs, power, BIOS and UEFI, firmware, and drivers
Out-of-band management experience with IPMI, Redfish, iDRAC, iLO, or similar
Working TCP/IP knowledge and ability to determine whether a problem is on the host or network
Fault-domain reasoning and production judgment
Experience with ticketing, monitoring, incident management, or infrastructure management systems
Clear written English
Helpful but not required: NVIDIA GPU servers at scale; CUDA, NCCL, NVLink, or DCGM; HPC or AI training environments; InfiniBand or high-performance Ethernet; Dell, HPE, Supermicro, or Lenovo platforms; NVMe, ZFS, Ceph, or distributed storage; Prometheus, Grafana, or similar observability tooling; NetBox or another infrastructure and asset register; Ansible, Terraform, or configuration management; Git-based infrastructure workflows; optics, transceivers, DAC or AOC cabling; geographically distributed third-party facilities

Benefits

Comp & perks

Defined shift schedule agreed before starting
Escalation rotation for high-severity issues outside shift hours
Written handoff at the end of every shift
Opportunity to influence the structure of a newly built support function