TensorWave is building and operating large-scale infrastructure platforms for high-performance AI workloads across multiple data centers, including GPU-intensive systems, high-throughput networking, and rapidly scaling compute clusters. The Senior Hardware Diagnostics Engineer will own the firmware lifecycle and establish how hardware versions are qualified, validated, and safely deployed across the fleet. The role will set standards for validated hardware, build tooling to enforce those standards, and serve as a technical escalation point for complex failures. The engineer will own firmware across BIOS, BMC, NIC, GPU, and storage controllers, including version qualification, approved baselines, staged rollout, and rollback. They will develop validation automation and fleet-scale management integrations, define burn-in criteria, and make fleet-wide changes safe through pre-flight validation, blast-radius control, staged waves, and tested rollback paths. The role also leads hardware and firmware root cause analysis, vendor escalations, and preparation for next-generation AMD platform bring-up. The engineer will mentor the diagnostics engineer on the team and contribute to incident response, runbooks, documentation, and operational best practices. Within the first 90 days, the engineer is expected to qualify and roll out a firmware release using the existing process and identify its shortcomings. By six months, a previously manual validation step is expected to run automatically, and the approved firmware baseline should be identifiable across the fleet without checking nodes individually.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed