Senior Production Systems Engineer AI Infrastructure

Meta; Austin (TX); On-site; USD 140,000 - 200,000; Full time

Job summary

Meta is seeking a Systems Engineer to join the RTP-NPI team, focusing on AI/ML initiatives and large-scale training/inference. You will work on end-to-end hardware lifecycle, prototyping, debugging, and production readiness for datacenter-scale AI systems in Austin.

The role involves integrating scale-up and scale-out interfaces, diagnosing issues, and collaborating with HW/SW co-designers and data center teams to improve platform quality and reliability.

Qualifications

• Bachelor's degree in CS/Engineering or equivalent practical experience.
• 6+ years in AI/ML/HPC network evaluation, NICs, or RDMA.
• Strong TCP/IP knowledge; experience with iperf.
• Experience with Linux and server hardware components.
• Hands-on troubleshooting and debugging; Python scripting.
• Experience with large-scale deployments and RoCE networks.

Responsibilities

• Lead integration of scale-up interfaces (NVLink, XGMI, RoCE) and scale-out NICs for AI platforms.
• Understand AI workloads and communicate patterns for NPI.
• Create experiments and tooling to detect and diagnose hardware/firmware/software issues.
• Contribute to hacks and explorations of future AI technologies.
• Troubleshoot and root-cause system failures with internal and external partners.
• Develop visibility through data visualization to address hardware health issues.
• Leverage production experience to drive improvements in product quality.

Skills

Networking basics

TCP/IP

Python scripting

Linux

Debugging

RDMA/RoCE

NICs

AI servers

Education

Bachelor's degree in CS/Engineering

Bachelor’s degree in Engineering or Computer Science

Tools

iperf

Job description

Meta is seeking a Systems Engineer to join the RTP-NPI team, focusing on AI/ML initiatives and large-scale training/inference. You will work on end-to-end hardware lifecycle, prototyping, debugging, and production readiness for datacenter-scale AI systems in Austin.

The role involves integrating scale-up and scale-out interfaces, diagnosing issues, and collaborating with HW/SW co-designers and data center teams to improve platform quality and reliability.