below marketmost similar roles pay hereabove market
This role pays less than
82%
of similar roles. Most pay
$196,350–$254,750
— the blue band above.
At the midpoint, this role pays about
$185k
versus about
$226k
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
575 open roles
on FindRole.
Listed pay typically runs
$147,900–$221,900
across 550 roles with salary data.
The Machine Learning Systems Engineer joins the Sensors Technologies group within the Multimedia Systems engineering group. This role involves designing state-of-the-art algorithms for single and multi-sensor fusion across smartphones, automotive, and IoT devices. The engineer will develop ML and AI techniques, define data collection strategies, and balance performance against power consumption and computational complexity. Daily tasks include creating evaluation reports, benchmarking, and providing design documentation. The position requires software implementation in C/C++ on Qualcomm platforms and high-level development using MATLAB and Python. Candidates must apply knowledge of probability, statistics, supervised and unsupervised learning, and feature extraction. The work specifically addresses sensor-based technology problems for navigation, gaming, and virtual reality, focusing on inertial sensors and IMU algorithm designs throughout the product life cycle.
Develop state-of-the-art algorithms for single and multi-sensor fusion using ML/AI techniques.
Implement software in C/C++ on Qualcomm platforms.
Use high-level languages like MATLAB and Python for algorithm development.
Create reports on algorithm evaluation, validation, benchmarking, and user documentation.
Define strategies to analyze and collect data.
Balance algorithm performance against power consumption and computational complexity.
Debug algorithm implementations and perform hands-on testing.
What we're looking for
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
PhD in Engineering, Information Systems, Computer Science, or related field.
Develop algorithms for single and multi-sensor fusion using ML/AI techniques.
Implement software in C/C++ on Qualcomm platforms.
Use high-level languages like MATLAB and Python for algorithm development.
Master or PhD in Electrical or Computer Engineering or related area or equivalent experience (preferred).
Experience with probability, statistics, supervised/unsupervised learning, feature extraction, classification, and regression (preferred).
Knowledge of inertial sensors or algorithm designs using IMUs (preferred).
Publications in the field of signal processing or AI (preferred).
C
C++
Swift
Rust
TensorRT
ONNX Runtime
XLA
Metal
Vulkan
ML Runtime
Inference Engines
Graph IR
IPC
RPC
DMA
Memory Management
Multi-model Scheduling
Neural Network Inference
Python
C++
PyTorch
CUDA
GPU Kernel Optimization
Distributed Training
Data Pipelines
Inference Serving
Computer Architecture
Model Deployment
Data Ingestion
Profiling
Debugging
Claude