This role pays less than
86%
of similar roles. Most pay
$176,900–$250,062
— the shaded band above.
At the midpoint, this role pays about
$154k
versus about
$213k
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 LLM Engineer within the Machine Learning Engineering group, you will create and implement machine learning techniques, frameworks, and tools to facilitate the 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 critical 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, and programming languages like Python, R, C, and C++. The role focuses on solving technical challenges in mobile, edge, auto, and IOT products by integrating machine learning into complex systems and developing novel architectures for specialized domains like NLP and multi-media.
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