Staff Software Engineer, 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. 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