As a Customer Engineer at Qualcomm, you will join the Snapdragon platform team to support device, application, and solution partners in integrating AI experiences on embedded systems. Your daily tasks include providing technical guidance for model deployment, optimizing performance through hands-on integration and analysis, and ensuring solutions transition from prototype to commercialization. You must be proficient in C/C++ and Python, with experience using ML frameworks like PyTorch or TensorFlow. Ideal candidates have a strong background in embedded software development, operating systems such as QNX, Linux, or Android, and familiarity with machine learning accelerators for edge deployment. Additionally, you will collaborate cross-functionally to resolve technical challenges, enhance tools and workflows, and drive system-level issue investigations to meet customer KPIs.
Skills
C/C++
Python
PyTorch
TensorFlow
OpenCV
Linux
QNX
Android
ML frameworks
JTAG
GDB
LLMs
NLP
Computer Vision
MLOps
Linear Algebra
Quantization
Deep Learning Architectures
Debugging Tools
Snapdragon Platforms
What you'll do
Support deployment of AI models on Snapdragon platforms from development to commercialization.
Optimize AI workloads and provide guidance for efficient deployment on embedded systems.
Implement model improvement techniques to enhance performance and efficiency on-device.
Execute project deliverables end-to-end, including testing and system verification.
Identify and improve tools, workflows, and documentation to resolve technical challenges.
Assist in developing and integrating generative AI features into Snapdragon-targeted applications.
What we're looking for
2+ years of experience with embedded platforms and operating systems like QNX, Linux, or Android.
Proficiency in C/C++ and Python, along with AI/ML frameworks such as PyTorch or TensorFlow.
Hands-on experience developing, training, and deploying machine learning models, especially in computer vision and NLP.
Strong understanding of neural network fundamentals and ability to optimize inference on embedded hardware.
Skilled in debugging tools for troubleshooting embedded systems and AI applications.
Experience with ML/MLOps pipelines for reliable model deployment and maintenance.
Market check
Salary context
This listing doesn't show a salary. Similar roles on FindRole typically pay
$134,800–$221,600.
Peer median band
$134,800–$221,600
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$151,875–$214,500
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has
569 open roles
on FindRole.
Listed pay typically runs
$148,300–$224,400
across 536 roles with salary data.
C/C++
Python
TensorFlow
PyTorch
ONNX
Linux
Android
Windows
OpenCL
DSPs
Qualcomm AI SDK
MLPerf
Geekbench AI
Procyon AI
AITutu
Git
Gerrit
CMake
Make
Gradle