Senior Hardware Diagnostics Engineer - Infrastructure
Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 23, 2026.
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 building and operating large-scale infrastructure platforms to support high-performance AI workloads across multiple data centers. Our environment includes GPU-intensive systems, high-throughput networking, and rapidly scaling compute clusters.
We are looking for a Senior Hardware Diagnostics Engineer to own that surface: which versions we run, how we prove a version is safe, and how we push it across a fleet without breaking production. You'll set the bar for what validated hardware means here, build the tooling that enforces it, and be the person we escalate to when a failure doesn't make sense.
Firmware is where a lot of our hardest problems live. A BIOS revision changes how a GPU enumerates. A BMC update fixes one thing and breaks telemetry.
What You’ll Do
Own the firmware lifecycle across BIOS, BMC, NIC, GPU, and storage controllers: version qualification, approved baselines, staged rollout, and rollback
Design and build the validation harness that qualifies a firmware release before it reaches production, including regression and performance comparison between versions
Build automation against Redfish, IPMI, and vendor management APIs so firmware and validation work runs at fleet scale rather than node by node
Define what passing burn-in means: the test matrix, the thresholds, and the evidence we keep
Make fleet-wide changes safe and predictable through pre-flight validation, blast radius control, staged waves, and a rollback path that has actually been tested
Lead root cause analysis on hardware and firmware failures nobody else can reproduce, including PCIe error analysis, sensor and event log forensics, and thermal and power telemetry
Own technical escalation with OEM, ODM, and silicon vendors on firmware defects, and track fixes to closure
Prepare validation and bring-up capability for next-generation AMD platforms before the hardware lands
Mentor the diagnostics engineer on the team, and turn recurring findings into runbooks and tooling
Participate in incident response and root cause analysis
Contribute to runbooks, documentation, and operational best practices
Who You Are
Required Qualifications
6+ years in infrastructure engineering, hardware validation, systems engineering, or a closely related field
Deep hands-on experience with BMCs and out-of-band management - Redfish, IPMI, iDRAC, iLO, or equivalent - including scripted interaction, not clicking through a web UI
Direct firmware experience flashing, qualifying, and troubleshooting BIOS, BMC, and device firmware on enterprise servers, and a clear sense of how badly this can go wrong at scale
Strong Linux systems skills: boot process, kernel and driver behavior, and hardware diagnostics such as {{dmesg}}, {{lspci}}, {{ipmitool}}, SMART, and vendor CLIs
Ability to read low-level hardware signals: PCIe topology and error output, SEL and sensor data, thermal and power telemetry
Python for automation against REST APIs - Redfish, vendor tooling, and internal systems
A rigorous diagnostic method: you form a hypothesis, design a test that can disprove it, isolate one variable at a time, and document the evidence behind your conclusion
Experience driving hardware issues with vendors through to resolution
Clear technical writing for runbooks, RCAs, and vendor escalations
Preferred Qualifications
AMD GPU and ROCm experience: {{amd-smi}}, {{rocm-smi}}, ROCm Validation Suite
GPU and HPC validation at scale: stress testing, collective communication testing with RCCL or NCCL, node health frameworks
Low-level bus and firmware work: I2C, SMBus, BMC firmware behavior, Redfish schema extensions
Kernel-level debugging, including crash dump analysis
Ansible for fleet operations, and Git-based workflows with CI/CD
NetBox or other DCIM and IPAM tooling as a source of truth
Prior work at an OEM, ODM, or hyperscaler on hardware bring-up or validation
First Six Months
By 90 days you'll have qualified and rolled out a firmware release using our existing process - and told us what's wrong with it. By six months, a validation step that used to be manual runs automatically, and we can state our approved firmware baseline across the fleet without anyone checking node by node.
What We Offer
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
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 [email protected].
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.