Sr. Staff Software Engineer | QC AI Runtime

Qualcomm•Markham, ON

84d

About The Position

AI 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 leading 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 cross-site leads, developers and OEMs to optimize network 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. New Headcount

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ 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 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
12+ years of experience in software engineering and release engineering/devops
Experience with modern C++17 language features and C++ design patterns
Background in mathematical algorithms using fast math libraries and vector instructions sets
Practical experience with developing middleware or firmware software
Experience with multitasking and multithreading driver development
Experience with Hexagon DSP SDK or cross compiler toolchains for embedded systems and JIT technologies
Experience with low level interactions between operating systems and hardware.
Experience with Qualcomm FastRPC and Windows MCDM drivers
Experience using/integrating Qualcomm AI Stack products (e.g. QNN, SNPE, QAIRT)
Familiarity with TensorFlow, PyTorch or ONNX
Experience with agile software development practices, Jira system and tools such as git
Ability to collaborate and lead discussions across a globally diverse team
Experience with Linux or Unix and Windows based OS systems software development environment
Effective English communication skills (verbal, presentation, written)
Previous experience working in an Agile environment, and collaborating with multi-disciplinary teams

Nice To Haves

Programming/debugging skills in more than one programming languages (C/C++ preferred)
Some experience working with deep learning models training / inference pipelines.
Experience of profiling software and optimization techniques.
Experience with Windows software development environment.
Experience with Android or other embedded systems and developing tools for embedded platforms.
Experience working with virtualization techniques and containerization technologies such as Docker
Experience with automated generation and maintenance of complex software documentation.
Ability to collaborate across a globally diverse team and multiple interests

Responsibilities

Design and develop high-performance software using model C++17 for the Qualcomm AI Runtime SDK
Design and develop impactful solutions to optimize network 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 lifecycle
Lead project discussions and analysis on system and model deployment designs for GenAI models
Use cross compiler toolchains for embedded systems such as Android, embedded Linux, Windows on Snapdragon and QNX
Implement and optimize Machine Learning operations using modern C++17 on Hexagon DSP systems
Contribute to the development of tools and GenAI workflows for chip design, model and system analysis
Participate in software quality process improvements

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