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Production Systems Engineer, AI Systems

Meta· Engineering
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Hybrid (Austin, TX)$144k - $204kFull-timePosted 1mo ago

About the role

Hardware Systems Engineer responsible for the NPI validation and production readiness of next-generation AI and HPC infrastructure for large-scale data centers, collaborating across hardware, firmware, software, networking, and capacity teams.

Responsibilities

  • Lead end-to-end system validation strategies for AI and HPC hardware platforms, including AI accelerators, GPU clusters, and high-bandwidth memory subsystems in data center environments
  • Drive hands-on bring-up, characterization, and validation of AI server systems and associated components such as PCIe, NVLink, DRAM, and high-speed networking fabrics
  • Develop and maintain test specifications, validation procedures, and debug guides tailored to AI infrastructure NPI programs
  • Investigate and root-cause complex system failures spanning silicon, firmware, software, and hardware layers in collaboration with cross-functional engineering teams
  • Triage and track hardware and firmware defects through resolution while maintaining forward progress on NPI program milestones
  • Identify gaps in test coverage and drive 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
  • Guide data collection, analysis, and reporting efforts to surface systemic hardware quality trends and inform go/no-go decisions for production deployment
  • Communicate validation status, risk assessments, and technical findings to internal engineering teams and external hardware vendors
  • Collaborate with firmware and software teams to define hardware-software interface requirements for telemetry, diagnostics, and remote management of AI infrastructure

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 6+ 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 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 in the context of AI or HPC system validation
  • Experience analyzing system telemetry and fleet health data to identify reliability trends and drive engineering improvements

Skills

Nice to have:Automation scriptingLinux server administration

Benefits

  • benefits described in posting (not enumerated here)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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