Senior Software Engineer – Edge AI/GenAI & Multimedia

Qualcomm•San Diego, CA

About The Position

As 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. Design and develop Multimedia, AI, and Gen AI SDKs/framework components to facilitate end-application development across various categories of IoT products, such as Drones, IP/security/Sports cameras, AI boxes, Home appliances and media devices.

Requirements

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.

Nice To Haves

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.

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.