Meta is looking for a Hardware Systems Engineer to support the new product introduction of advanced AI and high-performance computing infrastructure for large-scale data centers. This role involves collaboration with various engineering teams to validate and scale AI hardware systems from initial development to production readiness. The engineer will focus on system validation strategies, debugging, and improving test methodologies. This position is critical for ensuring the quality and performance of next-generation AI hardware.

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field.
• 6+ years of experience in hardware systems engineering, silicon validation, or system-level bring-up for AI servers.
• Experience in ASIC bring-up, board-level debug, or large-scale system validation in data center environments.
• Experience developing test specifications and validation procedures for complex hardware systems.
• Experience leading 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.

• Lead end-to-end system validation strategies for AI and HPC hardware platforms.
• Drive hands-on bring-up, characterization, and validation of AI server systems and associated components.
• Develop and maintain test specifications, validation procedures, and debug guides for AI infrastructure NPI programs.
• Investigate and root-cause complex system failures in collaboration with cross-functional engineering teams.
• Triage and track hardware and firmware defects through resolution while maintaining progress on NPI milestones.
• Identify gaps in test coverage and improve test methodologies, tooling, and automation frameworks.
• Partner with AI platform and capacity engineering teams to define acceptance criteria for new AI hardware systems.
• Guide data collection, analysis, and reporting efforts to inform production deployment decisions.
• Communicate validation status, risk assessments, and technical findings to internal teams and external vendors.
• Collaborate with firmware and software teams to define hardware-software interface requirements.

• Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.