Entry Level & Senior Software Engineer, AI Software Platform (Onsite)

MaC VC; San Diego (CA); On-site; USD 141,000 - 211,000; Full time

Job summary

Qualcomm Technologies, Inc. is seeking an AI Software Core Software Engineer to develop and implement machine learning techniques for the Qualcomm AI Stack (QAIRT) and Genie back-end on Snapdragon platforms.

You will collaborate across OS environments and teams to optimize performance and memory usage for embedded AI workloads. You will contribute to a suite of in-house tools, research new AI toolchains, and ensure robust, scalable software across Android, Linux, QNX, Windows, and Zephyr

Qualifications

• Bachelor's degree in CS/Engineering/IS or related field with 2+ years related work experience.
• Master's degree in CS/Engineering/IS or related field with 1+ year related work experience.
• PhD in CS/Engineering/IS or related field.
• 1+ years of embedded software experience is preferred.

Responsibilities

• Develop in-house software tools and research third-party toolchains/compilers for Qualcomm AI Stack SDKs (QAIRT/Genie).
• Support execution of latest generative AI models on Snapdragon platforms across OSes.
• Perform system-level performance and memory profiling for Edge-AI use cases.
• Debug complex issues, perform root-cause analysis, ensure high system reliability.
• Collaborate with cross-functional teams to deliver robust toolchains.
• Contribute to technical excellence and knowledge sharing in the AI Software team.
• Participate in design and code reviews.
• Work with minimal supervision.

Skills

C/C++/Python

LLVM/GNU toolchains

Make/CMake

Education

Bachelor's degree in CS/Engineering/IS

Master's degree in CS/Engineering/IS

PhD in CS/Engineering/IS

Tools

LLVM

GNU

Make

CMake

Git

Job description

Company

Qualcomm Technologies, Inc.

Job Area

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drive digital transformation, creating a smarter, connected future for all. As an AI Software Core Software Engineer, you will develop and implement cutting-edge machine learning techniques that enable the efficient utilization of state-of-the-art solutions across various technology verticals.

In this role, you will be responsible for developing tools and supporting AI SW platform for the Qualcomm AI Stack spanning the Qualcomm AI Runtime (QAIRT) SDK, specifically Core software including Generative AI Inference Extensions (Genie) and the corresponding HW ML accelerator back-end support on the SoC. You will be responsible for researching state-of-the art AI toolchains, performance / memory and HW (CPU/NPU/eNPU) profiling for Edge-AI use cases on the embedded SoC.

You will have the opportunity to demonstrate your passion for software tools (developed in house and/or bring in off-the-shelf AI tools), support AI SW ecosystem across development and test and customer support. You will contribute to software toolchains and system level performance / memory profiling across a wide variety of OSes and platforms. You will collaborate with cross-functional teams to deliver robust, scalable AI software solutions, and contribute to a culture of technical excellence, knowledge sharing, and continuous improvement within the AI Software team.

Minimum Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR
• Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR
• PhD in Computer Science, Engineering, Information Systems, or related field.

Responsibilities

• You will be involved in 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.).
• You will be involved in 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.
• Participate in design and code reviews.
• Work independently with minimal supervision.

Preferred Qualifications (Desired)

• Master’s degree in Computer Science, Computer Engineering, or Electrical Engineering.
• 1+ years of experience building embedded software applications.
• Proficiency in software tools development using C/C++/Python, compiler toolchains (LLVM, GNU) and build systems (Make/CMake)
• Projects or Internships experience (Entry level) / 2+ years (Senior) of general software development experience.
• Experience with development in different OS/platforms like Android, Linux, Windows
• Knowledge of low-level interactions between operating systems (e.g., Linux, Android, Windows, QNX, etc.) and hardware.
• Experience using/integrating Qualcomm AI Stack products (e.g., QNN, Genie).
• Experience with agile software development practices and git-based SCM.
• Ability to collaborate across a globally diverse team and manage multiple interests.
• Excellent communication skills (verbal, presentation, and writing).

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [e-mail] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Pay Range And Other Compensation & Benefits

$140,800.00 - $211,200.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

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