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Systems Engineering Specialist, AI Fleet Operations

2 months ago

Menlo Park, California, United States META Full time

Meta is on the lookout for a Systems Engineering Specialist to become a vital part of our Release to Production (RTP) team. Our infrastructure, comprising servers and data centers, is crucial for the seamless operation of our rapidly expanding services. The RTP team oversees the Hardware Lifecycle of all Meta servers, engaging in hands-on system and hardware debugging, stress testing, and ensuring production-ready system monitoring, automated provisioning, and issue remediation.

Key Responsibilities:

  • Collaborate with external vendors and internal teams, including hardware, mechanical, power, thermal, manufacturing, and software engineers, to grasp system architecture and design effective test suites for diverse architectures.
  • Initiate experiments and develop tools to identify and resolve hardware, firmware, and software health issues proactively.
  • Create a comprehensive test framework for large-scale automation within the fleet during product development and post-mass production.
  • Execute remediation strategies across the software and hardware stack, maintaining meticulous procedural records and data logs.
  • Communicate updates on resolutions and findings internally, while troubleshooting, diagnosing, and identifying root causes of system failures in collaboration with stakeholders.
  • Enhance visibility through data visualization and implement systemic solutions to address hardware health challenges.
  • Facilitate discussions with both external and internal teams regarding test specifications and methodologies to continually enhance test quality.
  • Support Meta's sustainability goals by assessing the carbon footprint of new hardware designs and infrastructure. Collaborate with Net Zero teams to implement strategies for reuse, recycling, energy-efficient computing, and quality practices for both deployed and decommissioned hardware.

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
  • A minimum of 4 years of experience in hardware system support, with a solid understanding of server architecture and components.
  • Experience in Energy Aware Computing and/or Sustainable Infrastructure Design.
  • Proficiency in Linux and scripting, with experience in modifying system configurations and assessing the impact of changes.
  • Experience working within a matrix organization, engineering various server system/data center products.

Preferred Qualifications:

  • 4+ years of experience in large-scale production support.
  • 4+ years of experience encompassing full system technologies and lifecycle.
  • Experience in supporting AI/HPC systems and related components at scale, particularly in post-production hyperscale environments.

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