Hybrid Cloud & AI Solutions Engineer

Advanced Micro Devices; Bellevue, Northern (WA, KY); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Advanced Micro Devices (AMD) is seeking a Cloud and Customer Solutions Engineer for its Applied AI team. You will embed with AI customers to take AMD Instinct GPU clusters from delivery to sustained production, owning outcomes end-to-end, and translating field learnings into durable upstream improvements.

You will debug complex distributed systems, write production code, and work across ROCm, serving frameworks, and cloud/bare-metal deployments to ensure reliable performance for enterprise

Qualifications

• 5+ years of production software or infrastructure engineering, including field deployments
• Hands-on experience with GPU compute at scale and production workloads
• Strong knowledge of modern AI infrastructure stacks (Kubernetes/Slurm, containerized GPU workloads)
• Cloud platform experience (AWS/Azure/GCP) and hybrid/bare-metal deployments
• Proficiency in Python and a systems language; ability to modify large codebases

Responsibilities

• Own customer deployments end-to-end, from bring-up to production readiness
• Deploy and tune large-scale training/inference stacks against customer workloads across cloud and bare-metal environments
• Lead root-cause analysis and resolve production incidents
• Provide field learnings to improve ROCm, serving frameworks, and reference architectures
• Transfer operational capability to customer teams with runbooks and enablement
• Contribute upstream to ROCm issues and patches and provide structured feedback to product teams

Skills

GPU compute at scale

Kubernetes

Slurm

RCCL/NCCL

Observability tooling

Python

Systems language

Cloud platforms

On-site customer engagements

CUDA ecosystem experience

Open-source contributions

Education

Bachelor's or Master's degree in CS/CE/EE

Tools

Prometheus

Grafana

ROCm

CUDA ecosystem

Job description

Advanced Micro Devices (AMD) is seeking a Cloud and Customer Solutions Engineer for its Applied AI team. You will embed with AI customers to take AMD Instinct GPU clusters from delivery to sustained production, owning outcomes end-to-end, and translating field learnings into durable upstream improvements.

You will debug complex distributed systems, write production code, and work across ROCm, serving frameworks, and cloud/bare-metal deployments to ensure reliable performance for enterprise