AI Network Production Systems Engineer — Equity & Benefits

Meta; Bellevue (WA); Presencial; USD 144.000 - 204.000; Jornada completa

Descripción de la vacante

Meta seeks a Systems Engineer for the RTP-NPI team, focusing on AI/ML initiatives and large-scale data center systems. You will work across HW/SW co-design, networking, and data center operations to enable new AI platforms from prototyping to production.

You will drive hardware lifecycle activities, perform firmware/driver bring-up, and support production deployments while mitigating failures. Remote possibilities are limited; on-site collaboration is essential.

Formación

• Bachelor's degree in Computer Science, Computer Engineering, or related technical field or equivalent practical experience.
• 6+ years in Network ASIC/Platform development or related field such as switch deployment or interconnect tech.
• Strong Linux experience and proficiency with TCP/IP and iperf.
• Hands-on troubleshooting, debugging across firmware, driver, and software layers.

Responsabilidades

• Support AI platform introduction into Meta's fleet by driving scale up/down interfaces.
• Develop understanding of collective communication patterns and AI workloads for NPI.
• Create experiments and tooling to detect and diagnose hardware/firmware/software health issues.
• Contribute to rapid prototyping and PoC for future AI tech explorations.
• Troubleshoot and root cause system failures with internal/external partners.
• Develop visibility through data visualization and systemic hardware health solutions.
• Leverage production experience to improve product quality with teams.

Conocimientos

Linux

TCP/IP

Iperf

Troubleshooting

Hardware debugging

Network integration

NVLink

XGMI

NICs

Educación

Bachelor's degree in Computer Science, Computer Engineering, or related field

Herramientas

PCIe

RDMA

Descripción del empleo

Meta seeks a Systems Engineer for the RTP-NPI team, focusing on AI/ML initiatives and large-scale data center systems. You will work across HW/SW co-design, networking, and data center operations to enable new AI platforms from prototyping to production.

You will drive hardware lifecycle activities, perform firmware/driver bring-up, and support production deployments while mitigating failures. Remote possibilities are limited; on-site collaboration is essential.