Production Systems Engineer, AI Network

$173K–$245K

Austin, TX +2 · Full-time · Posted Sep 21, 2026

Location: Austin, TX
Menlo Park, CA
Seattle, WA
Experience: 8+ years of work experience in one or more listed domains, including AI/ML/HPC network evaluation and tuning, 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

Integrates, validates, and supports network technologies for Meta AI server platforms from prototyping through production deployment.

What you'll do

Lead integration of scale-up and scale-out network interfaces for AI platforms.
Develop experiments and tools to detect, reproduce, and diagnose system issues; troubleshoot failures and identify root causes.
Support technology prototyping, improve hardware health visibility, and drive product quality with internal and external teams.

What they ask for

Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
Knowledge of TCP/IP and experience using tools like iperf; knowledge of server architecture and components; experience working with Linux.
Hands-on troubleshooting and debugging experience; experience leading projects with large teams.
Experience with AI training and scale-out topologies, RDMA/RoCE, AI server systems, large-scale deployments, and Network Interface Cards (NICs).

Pay

$173,000/year to $245,000/year USD base salary

Tools

TCP/IP, iperf, Linux, RDMA/RoCE, NVLink, XGMI, RoCE, NICs

AI focus

Supports AI/ML training and inference infrastructure, including network integration and NPI informed by AI workloads and collective communication patterns.

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