Hardware Diagnostics Engineer - Infrastructure

TensorWave Other Engineering Full-time Las Vegas, NV, USA Posted on Oct 2, 2026 Apply now About TensorWave 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. About The Role 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. What You’ll Do Run server and GPU burn-in and stress testing, interpret the results, and decide whether hardware is production-readyTriage failures across GPUs, memory, drives, NICs, PSUs, and cabling: reproduce the failure, isolate the faulty component, and document what proved itWork servers out-of-band through IPMI and Redfish for power control, boot configuration, BIOS settings, and sensor and event log collectionApply firmware updates across the fleet following the team's qualified baselines and rollout processDrive RMAs with vendors from ticket through replacement, installation, and return of the failed partKeep asset, serial, and replacement history accurate in NetBox so we know what's actually in every rackTrack failure patterns across the fleet and raise them when the same part or firmware version keeps turning upImprove the runbooks you work from, and script the steps you find yourself repeatingPartner with datacenter operations on hands-on work during turn-ups and expansionsTake part in an on-call and escalation rotation for hardware issues Who You Are Required Qualifications 3–6 years in datacenter operations, systems administration, hardware support, or infrastructure engineeringHands-on experience with enterprise server hardware: component replacement, POST and boot failures, and reading hardware behavior at the rackPractical experience with BMCs and out-of-band management: IPMI, Redfish, iDRAC, iLO, or equivalentStrong Linux troubleshooting: boot process, driver and device issues, and diagnostic tools such as {{dmesg}}, {{lspci}}, {{ipmitool}}, and SMARTComfort reading sensor data, event logs, and thermal and power telemetry well enough to tell a real failure from noiseWorking scripting ability in Bash or Python — enough to automate a repetitive task and read someone else's toolingExperience running hardware RMAs with vendors, or a clear track record of driving issues to closure with outside partiesA methodical troubleshooting habit: you isolate variables, you don't change three things at once, and you can say what evidence led to your conclusionClear written communication for tickets, runbooks, and vendor cases Preferred Qualifications GPU server experience, especially AMD GPUs and ROCmBurn-in, stress testing, or node validation tooling in a GPU or HPC environmentFamiliarity with firmware update processes and why fleet-wide changes get stagedNetBox or other DCIM and IPAM toolingAnsible, or Python against REST APIsPrior work in a high-volume hardware environment: hyperscaler, colo, integrator, or manufacturing test First Six Months 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. What We Offer Stock Options100% paid Medical, Dental, and Vision insurance for EmployeesCompany Health Savings Account Contributions100% paid Short Term and Long Term Disability Insurance for EmployeesLife and Voluntary Supplemental Insurance OptionsOther Insurance Options, such as Pet & Legal InsuranceVarious Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness SupportFlexible Spending Account401(k)Employee Assistance ProgramFlexible PTOPaid HolidaysParental LeaveOther In-Office Perks Equal Employment Opportunity 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. Reasonable Accommodations TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com. Employment Eligibility All offers of employment are contingent upon verification of identity and authorization to work in United States, as required by law. Background Checks Where permitted by law, employment may be contingent upon the successful completion of a job-related background check. Data Privacy Notice By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws. Apply now See more open positions at TensorWave