This role pays less than
56%
of similar roles. Most pay
$188,562–$241,750
— the shaded band above.
At the midpoint, this role pays about
$205k
versus about
$215k
for comparable roles.
Based on 240 similar postings.
Employer
About Amd
AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors
Amd currently has
367 open roles
on FindRole.
Listed pay typically runs
$166,400–$249,600
across 367 roles with salary data.
Senior GPU Inference Performance Engineer will own end-to-end performance analysis of GPU-accelerated AI inference workloads. Working at the intersection of hardware, systems software, networking, and AI infrastructure, this role involves profiling, diagnosing, and explaining performance across the full stack from silicon to software runtimes. The engineer will identify bottlenecks in HBM bandwidth, kernel scheduling, and memory allocation while conducting competitive head-to-head benchmarks against other accelerator vendors. Key responsibilities include analyzing multi-server inference networking using RDMA/RoCE, NCCL/RCCL, and GPUDirect RDMA, as well as profiling Kubernetes and container runtime overheads. The role requires proficiency in Python, C/C++, and GPU toolchains like ROCm, Nsight Systems, and CUDA. Candidates must analyze complex distributed systems to solve performance issues related to large language model workloads across multi-node clusters and high-performance computing environments.