Sr. Field Applications Engineer, Datacenter & AI Systems Debug and Deployment Support
Core
Debug, triage, and resolve complex issues involving AMD Data Center GPUs and the AI software stack for cloud providers, OEMs, and enterprise customers.
Role type
Field Applications Engineer (FAE)
Builds
Supports post-sales technical engagements and large-scale cluster bring-up activities for AI and accelerated computing deployments.
Domain
Data center hardware, system software, and AI workloads
Deliverable
client delivery
Required skills
System-level debugging, Linux systems administration, GPU architecture knowledge, Python/C/C++ programming, Git, analytical problem-solving
Preferred skills
GPU programming frameworks (ROCm HIP, CUDA), performance analysis tools (rocProf, ROCgdb), high-performance networking (InfiniBand, RoCE, RDMA), containerization (Docker, Kubernetes, Slurm), HPC cluster support
Technologies
AMD Instinct, NVIDIA GPUs, Linux, PyTorch, TensorFlow, Git, Docker, Kubernetes, Slurm, InfiniBand, RoCE, RDMA, ROCm, CUDA
Responsibilities
Reproduce customer issues in lab environments and analyze logs/core dumps; Collaborate with engineering teams to drive issue resolution; Document debug methodologies and solutions; Deliver technical training sessions and collateral
Seniority
Early career, hands-on IC
