Hardware System Engineer, NPI HDD

Meta is seeking a Hardware Systems Engineer to join our Release to Production (RTP) team working on new Storage platform initiatives. Our servers and data centers are the foundation upon which our rapidly scaling infrastructure operates efficiently to deliver our innovative services. The RTP team is responsible for the end-to-end Hardware Lifecycle of all Meta servers including prototyping of experimental HW, pre-production hands-on system and hardware debugging and stress testing, enabling production-ready system monitoring, automated provisioning and automated remediation of issues.

Hardware Systems Engineers in RTP work closely with HW/SW co-design teams, hardware designers, networking teams, system manufacturers, component vendors, capacity engineering, production engineering, production services, and data center operations teams to enable new systems that will be deployed in our production data centers. We also work across service and hardware architectures for new types of systems; building prototypes to demonstrate the value, enable go/no-go decisions, and finally optimizing these systems for at-scale production.Hardware System Engineer, NPI HDD Responsibilities

• Lead and execute comprehensive end-to-end system validation for the next generations spinning media storage systems.
• Collaborate with hardware designers, external partners, and internal silicon validation teams to define test strategy at system level.
• Contribute to new feature/technology development/validation across hardware/software stack.
• Proactively create experiments and tooling to detect and diagnose hardware/firmware/software health issues.
• Troubleshoot, diagnose and root cause of system failures and isolate the components/failure scenarios while working with internal & external partners.
• Develop visibility through data visualization and implement systemic solutions to hardware health issues.
• Leverage production experience to drive external and internal teams to continuously improve product quality.
• Communicate complex technical findings to diverse stakeholders at all levels.
• Proactively identify and mitigate potential product risks based on testing insight.

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 5+ years of experience in in domains such as development and analysis of storage systems (HDD, NVMe, TLC, QLC, SATA), compute (x86/ARM), Memory (DDR4/5, LPDDR5, HBM), GPU/Accelerators, and/or system management (BMC, System Firmware)
• 2+ years of hands-on experience in areas such as ASIC development (Silicon design, bringup, characterization, validation), board level debug, firmware validation, system validation.
• 4+ years of experience troubleshooting and debugging using lab tools (Oscilloscope, Logic Analyzer, etc), and in developing test specifications, procedures, and debug guides for test solutions.
• 4+ years of experience leveraging knowledge of server architecture and sub-components, Linux, and x86/ARM platforms.

Preferred Qualifications

• 7+ years of experience with a subset of one of the following domains: Storage Systems, Compute Systems, Accelerated Compute Systems/HPC, Kernel/Firmware Development and/or test, Post Silicon Bringup.
• 3+ years of experience with storage/compute/accelerator system triage and debug in a matrix organization.
• Experience with embedded systems’ architecture and components, performance optimization of algorithms, test automation, and instrument communication (oscilloscopes, protocol analyzers, traffic generators, etc.).
• Experience in debugging tools for systems-on-chip (SoCs) - eg. JTAG, GDB, Trace32.
• Knowledge of common bus protocols such as I2C, SPI, USB, SATA, LP/DDR, and/or PCIe.
• Hands-on Experience with Linux systems and server systems management/debug, in a hyperscale environment.
• Experience authoring test plans for complex chipsets for functional, stress and performance testing.
• Experienced in the integration of lab tools for automated workflows with large scale deployments.
• 2+ years experience scripting automation in Python and/or SQL.
• Proficiency in continuous integration/continuous delivery tools.

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