Meta
Production Systems Engineer, AI Network
$144K–$204K
Austin, TX +2 · Full-time · Posted Sep 21, 2026
- Location
- Austin, TX
Menlo Park, CA
Seattle, WA - Experience
- 6+ years of work experience in one or more listed domains, including network ASIC/platform development, network product deployment and customer support, or interconnect technologies.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
About the job
Supports introduction and production readiness of AI network hardware and systems for Meta’s large-scale AI training and inference infrastructure.
What you'll do
- Integrate scale-up and scale-out networking into new AI platforms and develop NPI understanding of AI workloads and collective communication patterns.
- Build experiments and tools to detect, reproduce, and diagnose hardware, firmware, and software issues; troubleshoot failures and implement systemic fixes.
- Support prototyping and future technology exploration while coordinating with internal and external teams to improve product quality.
What they ask for
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- Knowledge of server architecture and components; experience working with Linux.
- Knowledge of TCP/IP and experience using iperf; hands-on troubleshooting and debugging experience.
- Experience with large-scale deployments, NICs, RDMA/RoCE, and a full server system including PCIe.
Pay
$144,000/year to $204,000/year USD base salary
Tools
Linux, TCP/IP, iperf, NICs, RDMA/ RoCE, PCIe, NVLink, XGMI
AI focus
Supports AI/ML infrastructure for large-scale training and inference, including AI platform networking and integration.
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