Senior AI Engineer (Customer Solutions)
Core
AI Application Engineer supporting customers and partners to execute AI training and inference workloads on AMD Instinct GPUs and EYC CPUs, including RFP support, Proof of Concepts (POCs), and performance investigations.
Role type
Senior IC AI Application Engineer (Customer Solutions)
Builds
AI workloads on AMD Instinct datacentre GPUs and EYC CPUs
Domain
Semiconductor / High-Performance Computing (HPC) / AI Infrastructure
Deliverable
production ML models
Required skills
AI training and inference workload execution, popular AI frameworks (PyTorch, TensorFlow, JAX), performance tuning, technical documentation, customer presentations and training, RFP support, Linux administration, HPC/AI middleware setup
Preferred skills
GPU training/inference experience, MLops (KVM, Kubernetes, OpenStack, OpenShift), system-level hardware design understanding, software stack impact analysis, Total Cost of Ownership modeling, deep neural network design, assembly inspection, memory/cache hierarchy understanding
Technologies
AMD Instinct GPUs, EYC CPUs, PyTorch, TensorFlow, JAX, MLperf, Hugging Face, KVM, Kubernetes, OpenStack, OpenShift, HIP, CUDA, Python, C/C++, Fortran, OpenACC, OpenMP
Responsibilities
Support customers and partners with RFP-driven requests and enable AI workloads on AMD hardware; Execute and tune training/inference workloads and generate performance characteristics; Create technical documentation (guides, whitepapers, training collateral); Liaise with customers via POCs, presentations, and training; Engage with internal teams to gather requirements and resolve issues; Assist in creating Total Cost of Ownership models; Technically own and resolve customer/partner issues via JIRA.
Seniority
Senior, hands-on IC
