Jobs and Careers

Senior Software Engineer – Edge AI/GenAI & Multimedia

qualcomm

San Diego, United Statesfull_timeVerifiedPosted 7 May 2026

💰 $166,900/yr($111,300/yr – $166,900/yr)

About the role

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

This position is not eligible for Qualcomm immigration sponsorship

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.

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.