Senior Software Engineer, Core AI Software Onsite (Mobile BU Focus)

SAM Seamless Network | Semiconductors

1h 21m ago

On-site

Full Time

United States of America

$140.8k - $211.2k USD/yr

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 Senior Software Engineer in the AI Software (AISW) team, you will play a critical role in delivering AI software capabilities that directly enable successful OEM and customer launches within the Mobile Business Unit (BU).

In this role, you will lead the design and development of core features in the Qualcomm AI Stack, including Qualcomm AI Runtime (QAIRT) and Generative AI Inference Extensions (Genie). You will contribute to efficient execution of advanced deep neural networks (DNNs), large language models (LLMs), and modern AI architectures on Snapdragon platforms. A key aspect of this position is a strong customer‑first mindset, ensuring AI software solutions meet the highest standards of quality, usability, performance, and reliability for mobile customers.

You will be responsible for supporting AI software that optimizes runtime efficiency, latency, power consumption, and stability of AI applications running machine‑learning workloads on Qualcomm’s low‑power AI accelerators, with a strong emphasis on real‑world mobile product readiness and customer satisfaction

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.

Key Responsibilities
- Design and development of software for Qualcomm AI Stack SDKs (QAIRT, Genie) to enable execution of state‑of‑the‑art generative and traditional AI models on Snapdragon mobile platforms.
- Design and implement core AI runtime framework components for inference on resource‑constrained mobile systems operating under strict power, memory, and performance constraints.
- Work closely with Mobile BU Points‑of‑Contact (PoCs) responsible for OEM engagement and product launches to deliver features, bug fixes, and optimizations required for customer success.
- Demonstrate a strong focus and obsession toward customer satisfaction, ensuring issues impacting customer experience are prioritized, addressed with urgency, and resolved with high quality.
- Proactively improve internal and customer workflows related to AI tools, SDKs, documentation, and processes to enhance ease of use, debuggability, and overall developer experience.
- Collaborate with cross‑functional teams including systems, validation, performance, and customer engineering teams to ensure end‑to‑end readiness of developed features and fixes.
- Validate, analyze, and optimize software performance, accuracy, and robustness through detailed testing of mobile AI use cases.
- Debug complex system issues, perform root‑cause analysis, and drive fixes across software‑hardware boundaries to ensure high reliability in customer environments.
- Participate actively in design and code reviews, setting high standards for code quality, maintainability, and scalability.
- Contribute to a culture of technical excellence, ownership, and continuous improvement within the AI Software organization.
Minimum Qualifications (Must Have)
- Bachelor’s degree in Engineering, Computer Science, Information Systems, or a related field.
- Professional software development experience.
- Strong proficiency in C/C++ software development.
- Experience developing software in Linux environments.
- Solid grounding in data structures, algorithms, software design principles, debugging, and testing.
- Strong verbal and written communication skills, with the ability to work effectively across teams and with customer‑facing stakeholders.
Preferred Qualifications (Desired)
- Master’s degree in Computer Science, Computer Engineering, or Electrical Engineering.
- Experience building embedded and systems‑level software for mobile or edge platforms.
- Familiarity with generative AI model architectures (e.g., LLMs) and inference pipelines.
- Understanding of hardware acceleration and deployment of AI inference on edge devices.
- Experience across platforms such as Linux, Android, and/or Windows.
- Knowledge of low‑level OS–hardware interactions.
- Experience with CMake‑based build environments.
- Prior experience using or integrating Qualcomm AI Stack products (e.g., QNN, Genie).
- Experience with agile development practices and git‑based source control.
- Ability to collaborate effectively within a globally distributed, cross‑functional team while balancing multiple priorities driven by customer and product milestones.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

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:

$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.

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

Required Skills

c++clinux

Required Languages

🇬🇧 English

Job Area:

General Summary:

Minimum Qualifications:

Key Responsibilities

Design and development of software for Qualcomm AI Stack SDKs (QAIRT, Genie) to enable execution of state‑of‑the‑art generative and traditional AI models on Snapdragon mobile platforms.
Design and implement core AI runtime framework components for inference on resource‑constrained mobile systems operating under strict power, memory, and performance constraints.
Work closely with Mobile BU Points‑of‑Contact (PoCs) responsible for OEM engagement and product launches to deliver features, bug fixes, and optimizations required for customer success.
Demonstrate a strong focus and obsession toward customer satisfaction, ensuring issues impacting customer experience are prioritized, addressed with urgency, and resolved with high quality.
Proactively improve internal and customer workflows related to AI tools, SDKs, documentation, and processes to enhance ease of use, debuggability, and overall developer experience.
Collaborate with cross‑functional teams including systems, validation, performance, and customer engineering teams to ensure end‑to‑end readiness of developed features and fixes.
Validate, analyze, and optimize software performance, accuracy, and robustness through detailed testing of mobile AI use cases.
Debug complex system issues, perform root‑cause analysis, and drive fixes across software‑hardware boundaries to ensure high reliability in customer environments.
Participate actively in design and code reviews, setting high standards for code quality, maintainability, and scalability.
Contribute to a culture of technical excellence, ownership, and continuous improvement within the AI Software organization.

Minimum Qualifications (Must Have)

Bachelor’s degree in Engineering, Computer Science, Information Systems, or a related field.
Professional software development experience.
Strong proficiency in C/C++ software development.
Experience developing software in Linux environments.
Solid grounding in data structures, algorithms, software design principles, debugging, and testing.
Strong verbal and written communication skills, with the ability to work effectively across teams and with customer‑facing stakeholders.

Preferred Qualifications (Desired)

Master’s degree in Computer Science, Computer Engineering, or Electrical Engineering.
Experience building embedded and systems‑level software for mobile or edge platforms.
Familiarity with generative AI model architectures (e.g., LLMs) and inference pipelines.
Understanding of hardware acceleration and deployment of AI inference on edge devices.
Experience across platforms such as Linux, Android, and/or Windows.
Knowledge of low‑level OS–hardware interactions.
Experience with CMake‑based build environments.
Prior experience using or integrating Qualcomm AI Stack products (e.g., QNN, Genie).
Experience with agile development practices and git‑based source control.
Ability to collaborate effectively within a globally distributed, cross‑functional team while balancing multiple priorities driven by customer and product milestones.

Pay range and Other Compensation & Benefits:

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