Support Engineer, GPU Infrastructure

🕒 September 15

🐊 Florida – Remote

🐊 Florida – Remote

💵 $95k - $130k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📞 Support Engineer

👻 Ghost score 22%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Hydra Host

WebsiteLinkedInAll Job Openings

11 - 50 employees

🔧 Hardware

🏢 Enterprise

🤖 Artificial Intelligence

💰 $10M Seed Round on 2022-04

Hardware • Enterprise • Artificial Intelligence

Hydra Host is a provider of high-performance computing solutions, offering dedicated bare metal GPU server access optimized for AI and HPC workloads. Their platform allows users to access and rent top-tier GPUs globally, providing unparalleled performance, security, and customization. Hydra Host's infrastructure includes a marketplace, known as Brokkr, that offers a wide array of GPU configurations and solutions tailored for mission-critical applications such as AI, big data, and machine learning. Through their robust, secure, and scalable solutions, Hydra Host ensures customers enjoy full control over their server environments, with options for scalability and future-readiness. The company's offerings are trusted by leading firms seeking efficient and innovative computing solutions.

📋 Description

• 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

• 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

• 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

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