This role pays more than
58%
of similar roles. Most pay
$162,000–$229,325
— the shaded band above.
At the midpoint, this role pays about
$202k
versus about
$196k
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
613 open roles
on FindRole.
Listed pay typically runs
$155,400–$232,800
across 594 roles with salary data.
As an AI Performance Engineer within the Machine Learning Engineering group, you will create and implement machine learning techniques, frameworks, and tools to enable the efficient discovery and utilization of state-of-the-art solutions across various technology verticals. You will be responsible for modeling, architecting, and developing advanced machine learning hardware co-designed with software for inference or training. Your daily work involves developing optimized software such as machine learning kernels, compiler tools, and model efficiency tools to enable AI models on specific hardware features. You will utilize technologies including TensorFlow, Caffe, Pytorch, Keras, Python, R, C, and C++, while applying statistics and probability. The role focuses on solving technical challenges in mobile, edge, auto, and IOT products by integrating machine learning into complex products and developing novel solutions aligned with product roadmaps.
Computer Vision
Deep Learning
Python
C++
PyTorch
TensorFlow
Keras
Caffe
Linux
Android
QNX
Quantization
Pruning
Distillation
CPU
GPU
DSP
NPU
Containerization
Machine Learning
C++
Python
Matlab
TensorFlow
PyTorch
Keras
Signal Processing
Communication Theory
Neural Networks
Convex Optimization
Numerical Analysis
Information Theory
Channel Coding
Systems Engineering
Machine Learning
C++
Python
Matlab
TensorFlow
PyTorch
Keras
Signal Processing
Communication Theory
Neural Networks
Convex Optimization
Numerical Analysis
Information Theory
Channel Coding
Systems Engineering