Careers
Quick summary
- Work type
- On-site
- Location
- San Diego, CA
- Posted
- 55 days ago
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $152,075–$208,800.
Based on 239 similar postings.
Employer
About Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has 660 open roles on FindRole.
Listed pay typically runs $154,000–$231,000 across 429 roles with salary data.
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At a glance
TL;DR · Careers
As an AI Software Core Engineer at Qualcomm, you will join the AI Software team to develop cutting-edge machine learning tools for the Qualcomm AI Runtime SDK and Generative AI Inference Extensions. Your day-to-day responsibilities include researching state-of-the-art AI toolchains, profiling performance and memory usage on embedded SoCs, and validating software through detailed testing of machine learning use cases across various operating systems such as Android, Linux, Windows, QNX, and Zephyr. You will work independently to support the execution of generative AI models on Snapdragon platforms while collaborating with cross-functional teams to deliver robust, scalable solutions. The role requires proficiency in C/C++/Python for software development, experience with AI frameworks like TensorFlow, PyTorch, and ONNX Runtime, and knowledge of low-level hardware interactions on Qualcomm’s SoCs.
Skills
What you'll do
- Develop in-house software tools or research off-the-shelf toolchains for the Qualcomm AI Stack SDKs.
- Conduct system-level performance and memory profiling to support high-performance AI SW stack on SoCs.
- Validate and optimize the accuracy and efficiency of machine learning use cases through detailed testing.
- Collaborate with cross-functional teams to deliver robust, scalable AI software solutions.
- Work independently to develop embedded software applications for various OS platforms.
- Integrate Qualcomm AI Stack products such as QNN and Genie into projects.
What we're looking for
- Proficiency in C/C++/Python for software tools development.
- 1+ years of experience building embedded software applications.
- Expertise in AI frameworks like TensorFlow, PyTorch, and ONNX Runtime.
- Experience with multiple operating systems including Android, Linux, Windows.
- Knowledge of low-level OS-hardware interactions on SoCs.
- Familiarity with Qualcomm AI Stack products such as QNN and Genie.
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