Software Engineer, Core AI Software

Qualcomm; San Diego (CA); On-site; USD 122,800 - 184,200; Full time

Job summary

Qualcomm Technologies, Inc. is seeking an AI Software Engineer to design and implement cutting-edge ML techniques for the Qualcomm AI Stack." You will contribute to efficient execution of DNNs and LLMs across Snapdragon platforms while collaborating with hardware and software teams.

The role emphasizes debugging, performance optimization, and feature development within the QAIRT/Genie ecosystems, enabling customers to deploy advanced AI solutions.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
• Master’s degree preferred in related field.

Responsibilities

• Develop software for Qualcomm AI Stack SDKs (QAIRT and Genie) to support latest generative AI models on Snapdragon platforms.
• Validate, analyze, and optimize performance and accuracy of ML software through detailed testing.
• Debug complex issues and perform root-cause analysis to ensure high system reliability.
• Collaborate with cross-functional teams to deliver robust AI software solutions.
• Assist in feature development and apply ML techniques to products and AI solutions.

Skills

ML frameworks

Embedded systems

Programming languages

Statistics & probability

Leadership

Cross-functional collaboration

Education

Bachelor’s degree

Master’s degree

Tools

TensorFlow

Caffe

PyTorch

Keras

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 a Qualcomm AI 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 position, you will be responsible for assisting with the software design and development of the Qualcomm AI Stack features within 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 have the opportunity to demonstrate your passion for software design and development through your analytical, design, programming, and debugging skills.

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.
• 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.
• 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.

Minimum Qualifications

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

Preferred Qualifications

• Master’s degree in Computer Science, Engineering, Information Systems, or related field.
• 5+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
• 5+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
• 5+ years of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++).
• 5+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule).
• 3+ years experience working in a large matrixed organization.
• 2+ years of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
• 1+ year in a technical leadership role with or without direct reports (only applies to positions with direct reports).
• 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).

Principal Duties and Responsibilities

• Leverages advanced Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.
• Models, architects, and develops advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions.
• Develops optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with hardware teams for joint design and development.
• Develops and applies machine learning techniques into products and/or AI solutions to enable customers to do the same.
• Develops, adapts, or prototypes novel machine learning solutions aligned with and motivated by proposals or roadmaps for complex products and working features.
• Oversees and conducts experiments to train and evaluate machine learning models and/or software.

Level of Responsibility

• Works independently with minimal supervision.
• Provides supervision/guidance to other team members.
• Decision-making is significant in nature and affects work beyond immediate work group.
• Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc.
• Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).
• Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.

EEO Statement

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 disability‑[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).

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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.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits

$122,800.00 - $184,200.00

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.

Contact

If you would like more information about this role, please contact Qualcomm Careers.