Staff AI Software Tools Engineer – Onsite

Qualcomm; San Diego (CA); On-site; USD 158,000 - 238,000; Full time

Job summary

Qualcomm Technologies, Inc. is seeking an AI Software Core Software Engineer to develop and implement cutting-edge machine learning techniques for the Qualcomm AI Stack across QAIRT/Genie and Gen back-end support on Snapdragon SoCs.

You will lead in-house software toolchains, perform system-level performance and memory profiling across Android, Linux, Windows, and QNX, and collaborate with cross-functional teams to deliver robust AI software solutions with a focus on code quality and scalable

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Responsibilities

• * Responsible for leading and developing in-house software tools or research off-the-shelf 3rd party toolchains, compilers required for the Qualcomm AI Stack SDKs, specifically QAIRT and Genie, to support the execution of the latest generative AI models on Snapdragon platforms for various AI use cases across a wide-variety of SoCs and OS platforms (Android, Linux, QNX, Windows, Zephyr, etc.)
• * Lead / coordinate efforts for System level performance and memory profiling/benchmarking required to support high performance and efficient AI SW stack on SoCs supporting Edge-AI use cases using Qualcomm’s AI SW SDK and associated components/toolchains
• * Validate, analyze, and optimize the performance and accuracy of software through detailed testing of machine learning use cases.
• * Debug complex issues, perform root cause analysis, and ensure high system reliability.
• * Collaborate with cross-functional teams to deliver robust, scalable toolchains
• * Contribute to a culture of technical excellence, knowledge sharing, and continuous improvement within the AI Software team.
• * Work independently with minimal supervision; Staff Engineers provide guidance to junior team members and make decisions impacting their area and the broader work group.

Skills

C/C++

Python

OS/Platforms

Performance profiling

Debugging

Software tooling

Education

Bachelor's degree

Master's degree

PhD

Tools

LLVM

GNU

Make

CMake

Git

Job description

Qualcomm Technologies, Inc. is seeking an AI Software Core Software Engineer to develop and implement cutting-edge machine learning techniques for the Qualcomm AI Stack across QAIRT/Genie and Gen back-end support on Snapdragon SoCs.

You will lead in-house software toolchains, perform system-level performance and memory profiling across Android, Linux, Windows, and QNX, and collaborate with cross-functional teams to deliver robust AI software solutions with a focus on code quality and scalable