← All roles

Production Systems Engineer, AI Systems

Meta· Engineering
Apply on company site
Hybrid (Austin, TX)$173k - $245kFull-timePosted 4w ago

About the role

Hardware Systems Engineer focused on NPI, validation, and production readiness for AI and high-performance computing infrastructure in large-scale data centers.

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 their 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
  • 8+ 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 in developing test specifications, validation procedures, and debug methodologies for complex hardware systems
  • 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 leading root-cause analysis and troubleshooting of system-level failures across hardware, firmware, and software stacks
  • Experience analyzing system telemetry and fleet health data to identify reliability trends and drive engineering improvements
  • Experience leading projects with large teams

Skills

Required:System validationBring-up and debuggingTest specification developmentRoot-cause analysisTelemetry and data analysisProject leadership

Benefits

  • bonus
  • equity
  • benefits
Last updated Oct 23, 2026. Interested? Apply on the company site.

About Meta

Shop the latest AI glasses and wearable technology from Meta.

Shop the latest AI glasses and wearable technology from Meta. Explore Ray-Ban Meta, Oakley Meta, display glasses, and cutting-edge VR headsets.

AI glassesOakley MetaRay-Ban MetaVR headsetsliquid-ai-recruiting-targetwearable technology
Company profileWebsite

More open roles at Meta