Hardware Diagnostics Engineer - Infrastructure

Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.

We are looking for a Hardware Diagnostics Engineer to run burn-in, triage what fails, work servers out-of-band, and own RMAs end to end. If you like hardware that misbehaves in ways that take real work to explain, this is a good seat.

Before any GPU server carries a customer workload, it has to prove it works — under load, at temperature, for hours. When it doesn't, somebody has to figure out why, get replacement hardware in, and send the failed part back to the vendor.

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  Run server and GPU burn-in and stress testing, interpret the results, and decide whether hardware is production-ready

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  Triage failures across GPUs, memory, drives, NICs, PSUs, and cabling: reproduce the failure, isolate the faulty component, and document what proved it

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  Work servers out-of-band through IPMI and Redfish for power control, boot configuration, BIOS settings, and sensor and event log collection

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  Apply firmware updates across the fleet following the team's qualified baselines and rollout process

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  Drive RMAs with vendors from ticket through replacement, installation, and return of the failed part

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  Keep asset, serial, and replacement history accurate in NetBox so we know what's actually in every rack

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  Track failure patterns across the fleet and raise them when the same part or firmware version keeps turning up

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  Improve the runbooks you work from, and script the steps you find yourself repeating

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  Partner with datacenter operations on hands-on work during turn-ups and expansions

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  Take part in an on-call and escalation rotation for hardware issues

• 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

• GPU server experience, especially AMD GPUs and ROCm

• Burn-in, stress testing, or node validation tooling in a GPU or HPC environment

• Familiarity with firmware update processes and why fleet-wide changes get staged

• NetBox or other DCIM and IPAM tooling

• Ansible, or Python against REST APIs

• Prior work in a high-volume hardware environment: hyperscaler, colo, integrator, or manufacturing test

• By 90 days you'll run burn-in cycles and triage failures independently from our runbooks, and you'll have driven at least one RMA to closure. By six months you're the person who spots the pattern before anyone else — this batch, this firmware, this part — and you've automated at least one step you used to do by hand.

TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.

TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.

All offers of employment are contingent upon verification of identity and authorization to work in United States, as required by law.

Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.

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