Staff & Senior Staff Software Engineer, Core AI Software (Onsite)

Qualcomm; San Diego (CA); On-site; USD 158,400 - 237,600; Full time

Job summary

A leading technology innovator seeks an AI Software Core Software Engineer to develop and implement machine learning techniques that optimize the Qualcomm AI Stack. You will be responsible for software development related to generative AI models and contributing to a culture of technical excellence. The ideal candidate holds a degree in a relevant field and possesses significant software development experience, particularly in C/C++ and a Linux environment. The role requires collaboration across teams to deliver scalable AI solutions.

Qualifications

• Bachelor’s degree in a relevant field and 2+ years of software development experience.
• Proficiency in software development using C/C++.
• Excellent communication skills (verbal, presentation, and writing).

Responsibilities

• Develop software for Qualcomm AI Stack SDKs, specifically QAIRT and Genie.
• Design and implement core components for inference on resource-constrained systems.
• Validate performance and accuracy of software through testing.

Skills

Software development using C/C++

Embedded software applications

Development in a Linux environment

Communication skills

Education

Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field

Tools

Tensorflow

PyTorch

CMake

Job description

Company
Qualcomm Technologies, Inc.

Job Area
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 designing, developing, and optimizing features for the Qualcomm AI Stack within the Qualcomm AI Runtime (QAIRT) SDK, specifically Core software including Generative AI Inference Extensions (Genie). You will contribute to the efficient execution of advanced deep neural networks (DNNs), large language models (LLMs), and other modern AI architectures. You will also be responsible for supporting AI stack that optimizes runtime efficiency, latency and power consumption of AI applications running Machine Learning workloads on Qualcomm's low‑power AI accelerators. You will have the opportunity to demonstrate your passion for software design and development through your analytical, design, programming, and debugging skills. Depending on level, you may assist or lead feature development, provide guidance to junior team members, and make decisions impacting your direct area and the broader work group. 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 4+ years of related work experience.
• Master’s degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of related work experience.
• PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of related work experience.

Responsibilities

• Develop software for the Qualcomm AI Stack SDKs, specifically QAIRT and Genie, to support the execution of the latest generative AI models on Snapdragon platforms.
• Design and implement core components of Qualcomm AI Stack runtime framework for inference on resource constrained AI systems, operating in low power, small memory footprint platforms.
• 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 AI software solutions.
• Lead or assist in feature development and application of machine learning techniques into products and AI solutions, enabling customers to do the same.
• 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; Staff Engineers provide guidance to junior team members and make decisions impacting their area and the broader work group.

Qualifications

Minimum Qualifications (Must Have)

• Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field.
• 2+ years (Senior) / 5+ years (Staff) of general software development experience.
• Proficiency in software development using C/C++.
• Experience with development in a Linux environment.
• Strong software development skills, including data structure and algorithm design, object-oriented or other software design paradigms, software debugging, and testing.
• Excellent communication skills (verbal, presentation, and writing).

Preferred Qualifications (Desired)

• Master’s degree in Computer Science, Computer Engineering, or Electrical Engineering.
• 1+ years (Senior) / 3+ years (Staff) of experience building embedded software applications.
• 1+ years (Senior) / 3+ years (Staff) of software development experience with Python.
• Experience in using and developing AI solutions in one or more of these frameworks: Tensorflow, JAX, TFLite, LiteRT, PyTorch, ExecuTorch, ONNX Runtime.
• Familiarity with various generative AI model architectures such as LLMs.
• Strong understanding of hardware acceleration and deployment of generative AI inference at the connected edge.
• Experience with development in various platforms such as Linux, Android, or Windows.
• Knowledge of low-level interactions between operating systems (Linux, Android, Windows) and hardware.
• Experience with CMake-based build environments.
• Experience using/integrating Qualcomm AI Stack products (Examples: QNN, Genie).
• Experience with agile software development practices and git-based SCM.
• Ability to collaborate across a globally diverse team and manage multiple interests.

EEO Employer
Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Pay Range
$158,400.00 - $237,600.00