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Production Systems Engineer, NPI AI

Meta· Engineering
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Hybrid (Austin, TX)$144k - $204kFull-timePosted 2w ago

About the role

Hardware Engineer role focused on validation and production readiness of AI and HPC infrastructure across Meta's data centers, spanning AI silicon, server systems, and data center operations to bring AI accelerators and GPU-based servers from NPI to production.

Responsibilities

  • Lead hardware system validation and qualification activities for AI server platforms, GPU clusters, and AI accelerator systems entering Meta's production data center environment
  • Drive new product introduction efforts for AI/HPC hardware by defining acceptance criteria, coordinating bring-up activities, and managing cross-functional readiness reviews with silicon, firmware, and software teams
  • Develop and execute test plans covering thermal, power, and electrical characterization of AI server systems at component, board, and rack levels
  • Investigate and root-cause complex hardware failures across the full stack, including AI silicon, firmware, system software, and thermal subsystems
  • Collaborate with AI silicon vendors and original design manufacturers to resolve hardware issues, drive engineering change orders, and ensure production quality standards are met
  • Define and improve hardware qualification methodologies and failure analysis processes for AI/HPC platforms to scale across large fleet deployments
  • Partner with AI platform and capacity engineering teams to support hardware deployment planning, rack integration, and production ramp execution for GPU and AI accelerator systems
  • Analyze fleet telemetry, failure rate data, and field return trends to identify systemic reliability risks in AI infrastructure and drive corrective actions
  • Contribute to AI hardware design reviews and provide feedback on system architecture, component selection, and manufacturability to improve production outcomes
  • Communicate hardware qualification status, risk assessments, and deployment readiness for AI/HPC systems to cross-functional stakeholders and engineering leadership

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 6+ years of experience in hardware engineering with a focus on AI servers, GPUs, AI accelerators, or high-performance computing systems in a data center environment
  • 6+ years of experience in hardware validation, system bring-up, or new product introduction for AI/HPC platforms
  • Experience debugging hardware failures across multiple domains including power delivery, thermal management, signal integrity, or high-speed interconnects such as PCIe, NVLink, or HBM in AI systems
  • Experience developing test specifications, qualification procedures, and failure analysis documentation for AI/HPC hardware systems
  • Experience collaborating with silicon vendors, original design manufacturers, or contract manufacturers to resolve hardware quality and reliability issues for AI infrastructure

Skills

Required:Hardware validationFailure analysisTest planning

Benefits

  • Bonus
  • Equity
  • Benefits
Last updated Oct 23, 2026. Interested? Apply on the company site.

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