This role pays more than
83%
of similar roles. Most pay
$173,200–$254,750
— the shaded band above.
At the midpoint, this role pays about
$287k
versus about
$214k
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.
As a Principal Modeling Architect within the Product Architecture and Workload Strategy team for Data Center GPU, you will lead the development of advanced workload modeling methodologies to inform the architecture, design, and optimization of Instinct GPU and data center platforms. You will perform deep analysis of emerging AI/ML, HPC, and data analytics workloads, including LLMs and transformer variants, to translate insights into actionable architectural requirements and performance projections. Your daily work involves collaborating with silicon, system, and software teams to guide design trade-offs through benchmarking, profiling, and simulation efforts. The role requires expertise in performance modeling, workload characterization techniques, and experience with GPU programming frameworks like ROCm or CUDA. You will solve complex technical challenges by ensuring platforms are optimized for current and future workloads across enterprise data centers and supercomputing environments.
GPU Architecture
C
C++
Python
CUDA
OpenCL
Triton
Hip
TensorFlow
PyTorch
LLVM
MLIR
System C
RTL
HPC
Machine Learning
Kernel Prototyping
Performance Modeling
GPU
CPU
Microarchitecture
C++
Python
Performance Modeling
Workload Characterization
SoC
Data Center Systems
Machine Learning Acceleration
Micro-benchmarking
Computer Architecture
ROCm
CUDA
OpenCL
GPU Architecture
CPU Architecture
Diffusion
MoE
Compiler
Operating Systems
Performance Engineering
Hardware/Software Co-design
AI/ML Frameworks
Open Source