Hardware Diagnostics Engineer - Infrastructure
Las Vegas, NevadaFull-timePosted 2w ago
About the role
Hardware Diagnostics Engineer to run burn-in, triage hardware failures, manage out-of-band work, and own RMAs end to end for GPU servers and infrastructure hardware at TensorWave.
Responsibilities
- Run server and GPU burn-in and stress testing, interpret the results, and decide whether hardware is production-ready
- Triage failures across GPUs, memory, drives, NICs, PSUs, and cabling: reproduce the failure, isolate the faulty component, and document what proved it
- Work servers out-of-band through IPMI and Redfish for power control, boot configuration, BIOS settings, and sensor and event log collection
- Apply firmware updates across the fleet following the team's qualified baselines and rollout process
- Drive RMAs with vendors from ticket through replacement, installation, and return of the failed part
- Keep asset, serial, and replacement history accurate in NetBox so we know what's actually in every rack
- Track failure patterns across the fleet and raise them when the same part or firmware version keeps turning up
- Improve the runbooks you work from, and script the steps you find yourself repeating
- Partner with datacenter operations on hands-on work during turn-ups and expansions
- Take part in an on-call and escalation rotation for hardware issues
Qualifications
- 3–6 years in datacenter operations, systems administration, hardware support, or infrastructure engineering
- Hands-on experience with enterprise server hardware: component replacement, POST and boot failures, and reading hardware behavior at the rack
- Practical experience with BMCs and out-of-band management: IPMI, Redfish, iDRAC, iLO, or equivalent
- Strong Linux troubleshooting: boot process, driver and device issues, and diagnostic tools such as dmesg, lspci, ipmitool, and SMART
- Comfort reading sensor data, event logs, and thermal and power telemetry well enough to tell a real failure from noise
- Working scripting ability in Bash or Python — enough to automate a repetitive task and read someone else's tooling
- Experience running hardware RMAs with vendors, or a clear track record of driving issues to closure with outside parties
- A methodical troubleshooting habit: you isolate variables, you don't change three things at once, and you can say what evidence led to your conclusion
- Clear written communication for tickets, runbooks, and vendor cases
Skills
Required:Burn-in and stress testingFailure triage and root cause analysisOut-of-band managementFirmware managementRMA management
Nice to have:NetBox / DCIM usage
Benefits
- Stock Options
- 100% paid Medical, Dental, and Vision insurance for Employees
- Company Health Savings Account Contributions
- 100% paid Short Term and Long Term Disability Insurance for Employees
- Life and Voluntary Supplemental Insurance Options
- Other Insurance Options, such as Pet & Legal Insurance
- Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support
- Flexible Spending Account
- 401(k)
- Employee Assistance Program
- Flexible PTO
- Paid Holidays
- Parental Leave
- Other In-Office Perks
Last updated Oct 8, 2026. Interested? Apply on the company site.
About TensorWave
Next-Gen AI Infrastructure
TensorWave: AI & HPC Cloud with AMD Instinct™
AI inferencemanaged inferenceLLM inferenceAI model deploymentlow-latency inferencescalable AIAI autoscalingGPU inference
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