AI Network Production Systems Engineer

Meta

Menlo Park (CA)

On-site

USD 144,000 - 204,000

Full time

3 days ago
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Job summary

Meta seeks a Systems Engineer to join the RTP-NPI team, supporting AI/ML initiatives at datacenter scale. You will drive the hardware lifecycle from prototyping to production, enabling automated provisioning and remediation across Meta servers.

The role focuses on scale up/scale out network tech, NICs, and RDMA, collaborating with HW/SW co‑design, data center ops, and production teams to deliver production‑ready platforms for AI workloads.

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
  • 6+ years in network/hardware or related domains.
  • Knowledge of server architecture and components.
  • Experience with Linux environments.
  • TCP/IP expertise and iperf usage.
  • Hands-on debugging across hardware/software/firmware.

Responsibilities

  • Support scale up and scale out interface integration for AI platforms.
  • Understand AI workloads and collective communication patterns for NPI.
  • Create experiments and tooling to detect, reproduce, and diagnose hardware/firmware health issues.
  • Contribute to rapid prototyping and proof‑of‑concept efforts for future AI tech explorations.
  • Troubleshoot and root cause system failures with internal and external partners.
  • Develop visibility through data visualization and systemic hardware health solutions.

Skills

Linux
TCP/IP
Iperf
Troubleshooting
Server bring-up
Networking hardware

Education

Bachelor's degree in Computer Science or related field

Job description

Meta seeks a Systems Engineer to join the RTP-NPI team, supporting AI/ML initiatives at datacenter scale. You will drive the hardware lifecycle from prototyping to production, enabling automated provisioning and remediation across Meta servers.

The role focuses on scale up/scale out network tech, NICs, and RDMA, collaborating with HW/SW co‑design, data center ops, and production teams to deliver production‑ready platforms for AI workloads.

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