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Production Systems Engineer, NPI AI

Meta· Engineering
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Menlo Park, CA$118k - $170kFull-timePosted 1mo ago

About the role

Hardware Systems Engineer for the NPI of next-generation AI and high-performance computing infrastructure, collaborating across hardware design, firmware, software, networking, and capacity teams to validate and scale AI hardware systems from bring-up to production readiness.

Responsibilities

  • Drive system validation strategies for AI and HPC hardware platforms, including AI accelerators, GPU clusters, and high-bandwidth memory subsystems in data center environments.
  • Perform hands-on bring-up, characterization, and validation of AI server systems and components such as PCIe, NVLink, DRAM, and high-speed networking fabrics.
  • Develop and maintain test specifications, validation procedures, and debug guides for AI infrastructure NPI programs.
  • Investigate and root-cause complex system failures across silicon, firmware, software, and hardware with cross-functional teams.
  • Triage and track hardware and firmware defects through resolution while maintaining progress on NPI milestones.
  • Identify gaps in test coverage and contribute improvements to test methodologies, tooling, and automation frameworks across the NPI lifecycle.
  • Partner with AI platform and capacity engineering teams to define acceptance criteria and deployment readiness standards for new AI hardware systems.
  • Support data collection, analysis, and reporting to surface systemic hardware quality trends.
  • Communicate validation status and technical findings to internal teams and external hardware vendors.
  • Collaborate with firmware and software teams on hardware-software interface requirements for telemetry, diagnostics, and remote management of AI infrastructure.

Qualifications

  • Bachelor’s degree in Computer Science, Computer Engineering, or relevant technical field (or equivalent practical experience); degree must be completed before 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 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 (e.g., PCIe, NVLink, DDR5, or HBM) in AI/HPC validation

Skills

Required:System validation planningHands-on bring-up and characterizationTest specification and procedure developmentRoot-cause analysisHigh-speed interconnects/memory subsystems

Benefits

  • Benefits information as listed by Meta (not itemized here)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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