Principal Engineer- AI/ML Forward Deployment Engineering at AMD
Interview Preparation Plan
This leadership position is focused on optimizing the design, rollout, and post-rollout management of AI/ML Fabrics. The role requires acting as a technical interface between customers and internal engineering teams, leveraging extensive experience in large network architecture, storage, AI/ML network deployments, and performance tuning. A disciplined approach to system triage, at-scale debugging, and infrastructure optimization is crucial to ensure robust performance and efficient transitions from GPU production qualification to datacenter deployment. The Principal Engineer will collaborate with strategic customers on scalable designs involving compute, networking, and storage environments, working with industry partners and internal teams to accelerate the deployment and adoption of AI/ML models. Key responsibilities include engaging in system-level triage and at-scale debugging of complex issues across hardware, firmware, and software, and providing domain-specific knowledge to other groups at AMD to drive continuous improvement. This role also involves engaging with AMD product groups to resolve customer issues and developing/presenting training materials.
Key Responsibilities
- Technical interface between customers and internal engineering groups for AI/ML deployments.
- Optimize the design, rollout, and management of AI/ML Fabrics.
- System-level triage and at-scale debugging of complex hardware, firmware, and software issues.
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