Production Systems Engineer, AI Network
Meta· Engineering
Austin, TX$173k - $245kFull-timePosted 4w ago
About the role
Role focusing on end-to-end hardware lifecycle for Meta AI systems, driving scale-up and scale-out network technologies, integration with AI platforms, and collaboration across cross-functional teams to enable production deployment at data center scale.
Responsibilities
- Lead integration of scale up (e.g. NVLink, XGMI, RoCE) and scale out (e.g. NICs) interfaces for AI platforms
- Develop an understanding of collective communication patterns and AI workloads to incorporate this as part of NPI
- Proactively create experiments and tooling to detect, reproduce, and diagnose hardware/firmware/software issues
- Contribute to prototyping and proof-of-concept efforts for future technology explorations in the AI space
- Troubleshoot, diagnose, and root-cause system failures and isolate the components/failure scenarios while working with internal and external partners
- Develop visibility through data visualization and implement systemic solutions to hardware health issues
- Leverage production experience to drive external and internal teams to continuously improve product quality
Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 8+ years of work experience in AI/ML/HPC network evaluation and tuning, Network ASIC/Platform development (silicon/switch platform design or bring-up or characterization), Network product deployment and customer support (switches, NICs), Interconnect technologies (e.g., optics, DAC)
- Knowledge of TCP/IP and experience in 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
Skills
Required:TCP/IPLinuxHardware/firmware/software debuggingProject leadership
Last updated Oct 23, 2026. Interested? Apply on the company site.
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