Sr. Engineer - AI​/ML Network Deployment Engineering

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The Principal Engineer DC GPU AI/ML Advanced Forward Deployment and Systems Engineering is a leadership position designed to optimize the design, roll‑out and post‑rollout management of AI/ML Fabrics. The candidate will be the technical interface between the customers and various internal engineering groups, field application engineers. Leveraging extensive experience in large network architecture, storage, AI/ML network deployments, and performance tuning, this role requires a disciplined approach to system triage, at‑scale debug, and infrastructure optimization to ensure robust performance and efficient transitions from GPU production qualification to at‑scale datacenter deployment.

This position is for the Principal Engineer DC GPU AI/ML Advanced Forward Deployment and Systems Engineering with a focus on architecture, design, optimizing the compute, network, and storage and benchmarking the Machine Learning applications. You will be part of a team closely working with strategic customers and partners to enable large‑scale deployment of AMD CPU and GPU platforms. You will closely interface with ROCm software developers, DC GPU HW/FW/ASIC teams, Field Engineering teams, OEM/ODM partners, CSPs, and Marketing/Business Development teams.

Must be self‑motivated and possess the ability to work well within a team environment.

• Collaborate with strategic customers on scalable designs involving compute, networking, storage environment, work with industry partners, internal teams to accelerate the deployment, adoption of various AI/ML models.
• Engage system‑level triage and at‑scale debug of complex issues across hardware, firmware, and software, ensuring rapid resolution and system reliability.
• Drive the ramp of Instinct‑based large‑scale AI datacenter infrastructure based on NPI base platform hardware with ROCm, scaling up to pod and cluster level, leveraging the best in network architecture for AI/ML workloads.
• Enhance tools and methodologies for large‑scale deployments to meet customer uptime goals and exceed performance expectations.
• Engage with clients to deeply understand their technical needs, ensuring their satisfaction with tailored solutions that leverage your past experience in strategic customer engagements and architectural wins.
• Provide domain specific knowledge to other groups at AMD, share the lessons learned to drive continuous improvement.
• Engage with AMD product groups to drive resolution of application and customer issues.
• Develop and present training materials to internal audiences, at customer venues, and at industry conferences.

• Expertise in networking and performance optimization for large‑scale AI/ML networks, including network, compute, storage cluster design, modelling, analytics, performance tuning, convergence, scalability improvements.
• Prefer candidates with solid, hands‑on expertise in at least one or more of three domains, namely compute, network, storage.
• Demonstrated leadership in network architecture, hands‑on experience in…