Staff Software Engineer, Qualcomm AI Runtime

Company:Qualcomm Canada ULCJob Area:Engineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:Staff Software Engineer – Qualcomm AI RuntimeAI is revolutionizing how we solve complex, cross-domain challenges—and Generative AI (GenAI) and Agentic AI is at the forefront of this transformation. As part of the AI Software team, you will contribute to the development of the Qualcomm AI Runtime SDK, empowering OEMs, and developers to deploy advanced deep neural networks (DNNs) on cutting-edge Qualcomm Hexagon DSP Systems.In this role, your focus will be on design and development of software to enable GenAI and Agentic AI capabilities for on-device via Qualcomm AI Runtime SDK, enabling real-time, high-performance inference across diverse platforms—from smartphones and automotive systems to smart appliances. You will collaborate with developers and OEMs to optimize GenAI models for on-device inferencing capabilities. You will have the opportunity to show your passion for software design and development with your analytical, design, programming, and debugging skills.Join us to shape the future of intelligent devices powered by GenAI—where your work will directly impact how users interact with technology in their daily lives.Duties and Responsibilities:Design and develop high-performance software using model C++17 for the Qualcomm AI Runtime SDKDesign and develop impactful solutions to optimize GenAI model execution on-device, leveraging Hexagon DSPs for efficient inference latency and power.Lead new features development for Qualcomm AI Runtime SDK and collaborate with global cross functional team as part of the software development lifecycleLead project discussions and analysis on system and model deployment designs for GenAI modelsUse cross compiler toolchains for embedded systems such as Android, embedded Linux, Windows on Snapdragon and QNXImplement and optimize Machine Learning operations using modern C++17 on Hexagon DSP systemsContribute to the development of tools and GenAI workflows for chip design, model and system analysisParticipate in software quality process improvementsPreferred Qualifications:Six or more years of relevant work experienceExperience with modern C++17 language features and C++ design patternsBackground in mathematical algorithms using fast math libraries and vector instructions setsPractical experience with developing middleware or firmware softwareExperience with multitasking and multithreading driver developmentExperience with Hexagon DSP SDK or cross compiler toolchains for embedded systems and JIT technologiesExperience with low level interactions between operating systems and hardware.Experience with Qualcomm FastRPC and Windows MCDM driversExperience using/integrating Qualcomm AI Stack products (e.g. QNN, SNPE, QAIRT)Familiarity with TensorFlow, PyTorch or ONNXExperience with agile software development practices, Jira system and tools such as gitAbility to collaborate and lead discussions across a globally diverse teamEducation Requirements:Minimum: Bachelor's degree in Computer Science, Computer Engineering, or Electrical EngineeringPreferred: Master's degree in Computer Science, Computer Engineering, or Electrical EngineeringMinimum 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. ORMaster'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. ORPhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.Applicants: 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 View email address on click.appcast.io 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).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.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.If you would like more information about this role, please contact Qualcomm Careers.Job Posting Date:2025-11-10Job Posting End Date:Additional Job Posting Location:Department:Machine Learning Engineering