This role pays more than
90%
of similar roles. Most pay
$177,000–$238,334
— the shaded band above.
At the midpoint, this role pays about
$300k
versus about
$208k
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
498 open roles
on FindRole.
Listed pay typically runs
$166,400–$249,600
across 498 roles with salary data.
Principal Software Engineer — AI Performance & Reliability will join the AI Infrastructure team to improve the performance, efficiency, and reliability of machine learning workloads across training and inference. This role focuses on optimizing large language models, diffusion models, and recommendation systems by identifying bottlenecks across frameworks, compilers, runtimes, operating systems, and hardware. The engineer will develop performance tooling, benchmarks, and observability systems while collaborating with customers to resolve complex production issues and translate feedback into infrastructure improvements. Required skills include proficiency in Python or C++, experience with PyTorch, TensorFlow, or JAX, and a strong foundation in computer architecture and distributed communication. Candidates should have expertise in GPU environments and tools like ROCm, HIP, CUDA, Triton, XLA, MLIR, or NCCL to solve technical challenges across the AI software and hardware stack.
What does a Software Engineer earn in California?
Median $214000 from 869 postings across 70 companies.
Python
AI Infrastructure
Machine Learning
Cloud Platforms
Distributed Systems
SRE
Observability
System Design
SDKs
Automated Testing
Infrastructure Engineering
Generative AI
ROCm
CUDA
OpenCL
GPU Architecture
CPU Architecture
Diffusion
MoE
Compiler
Operating Systems
Performance Engineering
Hardware/Software Co-design
AI/ML Frameworks
Open Source
C
C++
Python
CUDA
Linux Kernel
Memory Management
NVIDIA GPU
NCCL
GPUDirect Storage
GPUDirect RDMA
vLLM
SGLang
TensorRT-LLM
CXL
Distributed Systems
Virtualization
NUMA
DMA
I/O Stacks