Cloud & Customer Solutions Engineer - DC GPU
Core
Embed with strategic AI customers to take AMD Instinct GPU clusters from delivery to sustained production excellence, owning customer outcomes end-to-end.
Role type
Senior IC production engineer (AI infrastructure & GPU clusters)
Builds
Production-ready AMD Instinct GPU clusters for AI training and inference
Domain
AI Infrastructure / Data Center GPU / HPC
Deliverable
production ML models
Required skills
Production software engineering, GPU compute at scale, Kubernetes/Slurm, Python, Systems programming, Root-cause analysis, Observability tooling, Cloud platform deployment
Preferred skills
ROCm, CUDA ecosystem, LLM application patterns (inference serving, RAG, agentic workflows), Open-source contribution
Technologies
ROCm, vLLM, SGLang, RCCL, Kubernetes, Slurm, Prometheus, Grafana, AWS, Azure, GCP, RoCE, InfiniBand
Responsibilities
Own customer deployments end-to-end (cluster bring-up, certification, workload onboarding, performance validation), Deploy and tune large-scale training/inference stacks, Lead root-cause analysis and resolution of production incidents, Deploy agentic AI solutions, Build observability and validation tooling, Transfer operational capability to customer teams, Contribute field learnings to upstream product teams
