CareerPlan

Field Application Engineer - AI

Taipei City 115, TaiwanFull-time2026-03-25 → 2026-10-22
Hybrid

Core

Field Application Engineer supporting customers and partners to enable AI workloads on AMD Instinct GPUs, conducting performance investigations, and delivering technical documentation and training.

Role type

Senior IC Field Application Engineer (AI/HPC)

Builds

AI performance documentation, Proof of Concepts (POCs), and technical training materials for AMD Instinct GPUs

Domain

Semiconductor / High-Performance Computing (HPC) / Artificial Intelligence

Deliverable

production ML models

Required skills

AI training and inference workload execution, GPU performance tuning, technical presentation and training delivery, RFP support, cross-functional engineering collaboration, Total Cost of Ownership modeling, issue resolution and JIRA management

Preferred skills

Experience with PyTorch, TensorFlow, JAX, MLPerf, Hugging Face, Kubernetes, OpenStack, OpenShift, Linux administration, system-level hardware design understanding, software stack impact analysis (compilers, libraries), deep neural network design, assembly inspection, memory/cache hierarchy knowledge

Technologies

AMD Instinct GPUs, EYC CPUs, PyTorch, TensorFlow, JAX, MLPerf, Hugging Face, Kubernetes, OpenStack, OpenShift, HIP, CUDA, Python, C/C++, Fortran, OpenACC, OpenMP

Responsibilities

Support customers and partners in executing AI workloads on AMD hardware; Conduct engineering investigations into training and inference performance; Create technical documentation and whitepapers; Deliver presentations and training sessions; Collaborate with internal engineering teams to resolve customer issues and gather requirements; Assist in creating Total Cost of Ownership models for pricing

Seniority

Senior, hands-on IC with customer-facing responsibilities