Meta is seeking a Hardware Systems Engineer to support the new product introduction (NPI) of next-generation AI and high-performance computing infrastructure for large-scale data center deployments. In this role, you will work at the intersection of AI silicon, server systems, and data center operations, partnering with hardware design, firmware, software, networking, and capacity engineering teams to validate and scale cutting-edge AI hardware systems from early bring-up through production readiness.

Qualifications:

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. Degree must be completed prior to joining Meta 2+ years of experience in hardware systems engineering, silicon validation, firmware validation, or system-level bring-up for AI servers, GPUs, TPUs, or AI accelerator platforms Experience in one or more of the following domains: ASIC bring-up and characterization, board-level debug, firmware validation, or large-scale system validation in data center environments Experience developing test specifications, validation procedures, and debug methodologies for complex hardware systems Experience with root-cause analysis and troubleshooting of system-level failures across hardware, firmware, and software stacks Experience with high-speed interconnects or memory subsystems such as PCIe, NVLink, DDR5, or HBM in the context of AI or HPC system validation Experience integrating lab instrumentation and automation frameworks to support NPI validation workflows Proficiency in Linux environments and server system management tools used in data center operations Experience with debugging tools for SoCs including JTAG, GDB, or Trace32, and familiarity with common bus protocols such as I2C, SPI, USB, and PCIe Experience defining hardware-software interface requirements for telemetry, diagnostics, and out-of-band management in AI infrastructure deployments