Production Systems Engineer, AI Systems

Meta is seeking a Systems Engineer to join our Release to Production (RTP) team working on Meta Training and Inference Accelerator (MTIA) program as a part of the AI/ML initiatives supporting large scale AI Training and Inference. The RTP team is responsible for the end-to-end Hardware Lifecycle of all Meta servers, including prototyping, debugging, and stress testing. We are looking for a candidate to work on scale up and scale out network technologies for MTIA systems powering Meta's AI advancements.

Responsibilities:

• Support new MTIA platform introduction
• Create experiments and tooling for hardware/firmware/software health issues
• Develop understanding of AI workload traffic
• Contribute to enabling hacks for future AI technology explorations
• Troubleshoot and diagnose system failures
• Develop visibility through data visualization
• Drive continuous product quality improvement

Requirements:

• Bachelor's degree in Engineering or Computer Science
• 6+ years of work experience in relevant domains
• Knowledge of server architecture and components
• Experience with Linux, TCP/IP, and iperf
• Hands-on troubleshooting and debug experience

Preferred Qualifications:

• Experience with Network Interface Cards (NICs)
• Experience with RDMA/RoCE
• Experience with full server systems, including PCIe
• Experience with large scale deployments

Join Meta to shape the future of social technology beyond 2D screens, pushing the boundaries of augmented and virtual reality.