Senior Software Engineer – Edge AI/GenAI & Multimedia

Software EngineerAs a leading technology innovator, Qualcomm pushes the boundaries of what is possible to enable next-generation experiences and drive digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software applications across subsystems— AI/Gen AI, Multimedia and Computer Vision—and/or specialized programs that launch cutting-edge, world-class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, and test engineers, as well as other teams, to design system-level software solutions and obtain information on performance requirements and interfaces.Minimum Qualifications:Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field.2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.Preferred Qualifications:2+ years of experience programming in C and C++, with a strong track record of building high-performance software for embedded and industrial systems.2+ years of experience designing and leading real-time embedded and industrial software solutions, with strong hands-on technical execution.Strong experience with AI and GenAI inference frameworks such as PyTorch, TensorFlow, ONNX Runtime, Llama.cpp, and LiteRT, along with a solid foundation in AI concepts, model architectures, tensor layouts, tensor transformations, and tensor-processing mathematics.Hands-on experience with GenAI orchestration frameworks such as LangChain and LlamaIndex, including building agent-based systems and retrieval-augmented generation (RAG) pipelines and applications.Hands-on experience with multimedia frameworks across Android, Tizen, and other operating systems, with deep understanding of hardware abstraction layers (HALs) for camera, audio, video, graphics/display, computer vision, and USB/UVC.Strong knowledge of Android system architecture, including AIDL/HIDL, Binder, system and vendor services, and Java/JNI integration.Experience building AI applications for vision and audio use cases, including classification, object detection, segmentation, and pose estimation, as well as GenAI-powered applications. Strong ability to handle tensor pre-processing and post-processing and integrate AI models into end-to-end pipelines across inputs such as camera, audio, and text.Strong background in Linux system-level programming, including multithreading, concurrency, memory handling, standard IPC mechanisms, and zero-copy architectures.Hands-on experience writing OpenGL ES (GLES) and GLSL shaders and working with programmable graphics/GPU pipelines.Hands-on experience with Docker and container technologies, including familiarity with OCI container standards and specifications.Proven development experience across embedded Linux, Ubuntu, and Android software stacks.End-to-end experience across the software development lifecycle, including architecture, design, implementation, deployment, and support.Principal Duties and Responsibilities:Design and development of AI, GenAI, and multimedia SDKs that enable application developers to build commercial-quality applications.Design and develop GenAI large language model (LLMs) and vision-language model (VLMs) inference workflows, including pre-processing, inference, post-processing, and orchestration.Design and develop multi-stream AI and chained AI/GenAI pipelines for real-world IoT products and applications.Drive feature design, implementation, debugging, and system integration to ensure high-quality delivery on schedule.Participate in code reviews, regression testing, and issue triage to uphold strong engineering standards and product quality.Collaborate effectively with cross-functional stakeholders and project teams to align technical execution with broader product and program objectives.Author and review technical documentation for software components and features to support development, integration, and long-term maintainability.Pay range and Other Compensation & Benefits: $111,300.00 - $166,900.00