Senior Field Application Engineer – AI
Core
Support customers and partners in executing AI training and inference workloads on AMD Instinct GPUs, Pensando NICs, and EPYC CPUs; conduct performance investigations and create technical documentation.
Role type
Senior Field Application Engineer (AI/Hardware)
Builds
AI workloads on AMD Instinct datacenter GPUs, Pensando™ Pollara AI NICs, and EPYC CPUs
Domain
Semiconductor / AI Infrastructure / Datacenter
Deliverable
production ML models
Required skills
AI training and inference workload execution, popular AI frameworks (PyTorch, TensorFlow, JAX), performance investigation, technical documentation, customer-facing presentations, Linux administration, system-level hardware design understanding
Preferred skills
GPU training/inference experience, MLops (KVM, Kubernetes, OpenStack, OpenShift), HuggingFace/MLperf familiarity, programming (HIP, CUDA, Python, C/C++), deep neural network design, inter-node network performance, memory/cache hierarchy understanding, datacenter deployment
Technologies
AMD Instinct GPUs, Pensando Pollara AI NICs, EPYC CPUs, PyTorch, TensorFlow, JAX, MLperf, Hugging Face, KVM, Kubernetes, OpenStack, OpenShift, HIP, CUDA, Python, C/C++, Fortran, OpenACC, OpenMP
Responsibilities
Support winning new AI business by enabling customers to execute workloads on AMD hardware; Build and nurture deep technical relationships with customer engineers and architects; Execute AI inference and training workloads and generate performance results; Run performance investigations using common frameworks and tools; Build a body of documentation for internal and external use; Proactively engage across AMD teams to gather feedback and resolve issues; Assist in creating Total Cost of Ownership models; Technically own and resolve customer and partner issues.
Seniority
Senior, hands-on IC
