This role pays more than
65%
of similar roles. Most pay
$159,250–$241,750
— the shaded band above.
At the midpoint, this role pays about
$223k
versus about
$200k
for comparable roles.
Based on 240 similar postings.
Employer
About Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has
623 open roles
on FindRole.
Listed pay typically runs
$148,300–$222,500
across 603 roles with salary data.
AI Performance Engineer (Cloud AI Engineering), Sr | Staff | Sr. Staff joins the Cloud AI team to develop hardware and software solutions for inference acceleration. This role involves converting, optimizing, and deploying models using PyTorch and ONNX while addressing performance analysis for LLM, VLM, and diffusion models to meet throughput and latency constraints. The engineer will design high-level kernels in Triton, map next-generation workloads onto hardware designs, and collaborate with internal compiler, firmware, and platform teams to resolve complex stability issues. Key technical requirements include proficiency in Python, deep knowledge of transformer architectures, attention mechanisms, and MoEs, alongside experience with sharding and parallelisms. The role focuses on the technical challenge of optimizing inference for advanced algorithms and ensuring efficient execution across various hardware designs while managing the full product lifecycle from research to deployment.
LLM
PyTorch
Python
Triton-Inference Server
vLLM
SGLang
CUDA
Triton
torch.compile
torchDynamo
Distributed Systems
Kernel Design
Deep Learning
KV-Cache Management
Model Optimization