Production Systems Engineer, AI Network
About the role
Meta is seeking a Systems Engineer to join the Release to Production New Product Introduction (RTP-NPI) team working on AI/ML initiatives supporting large-scale AI training and inference. The RTP team handles end-to-end hardware lifecycle for Meta servers, prototyping, debugging, validation, and certifying platforms for mass production of AI at datacenter scale. The role focuses on scale-up/scale-out network technologies for Meta AI systems, with hands-on experience across hardware/software (firmware, driver) lifecycle phases and collaboration with cross-functional partners.
Responsibilities
- Support the new AI platform introduction into Meta's fleet by driving scale up (e.g. NVLink, XGMI) and scale out (e.g. NICs) interface integration
- 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 health issues
- Contribute to rapid prototyping and proof-of-concept efforts for future AI technology explorations
- Troubleshoot, diagnose, and root cause of 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 both 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
- 6+ years of work experience in one or more domains such as: 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 server architecture and components
- Experience working with Linux
- Knowledge of TCP/IP and experience using iperf
- Hands-on troubleshooting and debug experience
Skills
About Meta
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