Principal Quality Engineer

Job Description: Principal Diagnostics and Quality Lead Engineer

Position Overview: We are seeking an experienced and skilled leader with a strong focus on server hardware quality lifecycle covering development validation, deployment, data center diagnostics and operations support. In this role, you will collaborate closely with cross-functional teams to ensure the quality, reliability, performance, and timely service of systems. You will interface with suppliers and technology providers such as NVIDIA. The ideal candidate will possess a deep understanding of Python programming, Linux, redfish and diagnostics of AI server hardware. Nvidia tool experience with Partner diags, DCGM is a plus. Candidates should also possess advanced troubleshooting skills, and a passion for staying current with the latest industry trends.

Responsibilities:

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• Lead development of complex validation and diagnostic tool suites, at-scale AI server monitoring, and remediation of faults both reactive and proactive.
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• Collaborate with development and operations teams to develop diagnostic tools, processes, and best practices that align with business objectives.
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• Lead diagnostic testing and validation of new hardware and firmware configurations to ensure optimal performance and reliability.
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• Collaborate with software and application teams to optimize logging telemetry for consumption by datacenter uptime and maintenance workloads, ensuring efficient resource utilization.
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• Stay current with industry trends, emerging technologies, and best practices related to complex programming, automation at scale, hardware, firmware and data center technologies.
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Qualifications:

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• Experience working with Hyperscale Control Plane systems
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• In-depth knowledge of server and AI architecture and components, including GPUs, processors, memory, storage, firmware and network interfaces
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• Expertise in server HW/FW/SW validation and debug.
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• Proficiency in server hardware and firmware management tools and technologies.
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• Strong understanding of data center best practices for deploying and servicing of servers.
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• Familiarity with virtualization technologies (VMware, Hyper-V, etc.) and their impact on server hardware
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• Excellent problem-solving and troubleshooting skills with the ability to diagnose and resolve hardware and firmware related issues
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• In-depth knowledge of Linux OS and device drivers
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• Solid programming and scripting skills like Python, bash, json, to gather and package hardware diagnostic data.
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• Ability to use Jira, Git and other common datacenter tools.
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