新产品导入生产系统工程师

Support end-to-end system validation, and deployment for cutting-edge Compute and Storage hardware platforms, including CPUs, flash, and data center processing units (DPUs) in data center environments

Proactively create experiments and tooling to diagnose and root cause hardware, firmware, and software failures across compute, storage, and networking systems using telemetry, logs, and hands-on debugging

Design and implement robust system-level test plans, including functional, stress, and performance tests

Drive component vendors and system manufacturers to resolve hardware and firmware issues identified during production operations

Interface with external vendors and internal teams to understand the system architecture and develop Hardware Fault Management for various server products

Drive new platform enablement, hardware validation, tooling specification, and integration, customer workload testing, and experiment creation to detect and diagnose hardware/firmware/software health issues

Leverage understanding of RAS (reliability, availability, serviceability) to improve error reporting and error handling mechanisms for better operation quality and cost/efficiency

Analyze production failure data to identify systemic trends and drive corrective actions with internal teams and external vendors

Create and maintain dashboards and data visualizations to surface hardware health signals and track remediation progress across the fleet

Drive necessary discussions with external and internal teams on test specifications and methodologies to improve test quality continuously, both within Meta, and in the broader industry

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience

3+ years of work experience in one or more domains such as: ASIC development, compute, AI-ML hardware/software, storage, memory, network, server interconnect technologies, or similar

Knowledge of architecture and components on one of the following products: server, PC, or laptop

Development or debug experience in one or more areas: hardware fault management, error reporting, error handling on hardware products

Experience with Python, C/C++ and/or similar languages, within a Linux environment, for server system management, automation, version control, CI/CD, or similar

Excellent problem-solving skills, with the ability to troubleshoot complex technical issues

Experience communicating technical findings and coordinating with cross-functional teams such as hardware design, firmware, and vendor engineering to drive issue resolution

5+ years of experience with a subset of one of the following domains: Compute Systems, Storage Systems, Accelerated Compute Systems/HPC, Kernel/Firmware Development and/or testing, Post Silicon Bringup

Experience with x86 or ARM-based CPUs and their subsystems (e.g., memory, inter-chiplet communications, RAS/DFT, power management), SSDs, or DPUs/SmartNIC

Familiarity with debugging tools for systems-on-chip (SoCs) — e.g. JTAG, GDB, DSTREAM, Trace32

Hands-on experience in troubleshooting problems at the system level, crossing across multiple components, as well as hardware/firmware/software boundaries.

Understanding of the hardware development process and how it pertains to test strategy. Experience authoring test plans for hardware systems or components

Working/functional knowledge of common bus protocols such as I2C, SPI, USB, LPDDR, and/or PCIe

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Individual compensation is determined by skills, qualifications, experience, and location.

Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable.

In addition to base compensation, Meta offers benefits.

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Currently has, or is in the process of obtaining, a Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.

Degree must be completed prior to joining Meta.