This role pays more than
98%
of similar roles. Most pay
$165,375–$235,750
— the shaded band above.
At the midpoint, this role pays about
$335k
versus about
$201k
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.
Fellow Software Engineer — AI Performance & Reliability will join the AI Infrastructure team to improve the performance, efficiency, and reliability of AI workloads across model training and inference. This role involves profiling and optimizing large language models, diffusion models, and recommendation systems while 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. Key technical requirements include proficiency in Python or C++, experience with PyTorch, TensorFlow, or JAX, and a strong foundation in computer architecture and distributed communication. Candidates should possess expertise in GPU environments and tools like ROCm, HIP, CUDA, Triton, XLA, MLIR, and NCCL to solve challenges related to throughput, latency, and memory efficiency at scale.
What does a Software Engineer earn in California?
Median $214000 from 775 postings across 63 companies.
CUDA
Python
C++
Rust
TensorRT-LLM
vLLM
SGLang
Triton
PyTorch
NVIDIA Nsight Systems
CUTLASS
NCCL
Quantization
Distributed Systems
GPU Architecture
Model Parallelism
Speculative Decoding
Python
PyTorch
JAX
TensorFlow
Reinforcement Learning
RLHF
LLM Agents
Kubernetes
Ray
Slurm
CUDA
ROCm
HIP
Distributed Systems
Data Pipelines
Model Serving
Compiler Optimization
Profiling
Hardware Engineering