Sr. Staff Software Engineer

Qualcomm•San Diego, CA

About The Position

General Summary 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—Multimedia, AI/Gen AI, and Computer Vision—and/or specialized utility 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 cameras, AI boxes, and media devices.

Requirements

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.
OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience.
OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
3+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Nice To Haves

8+ years of experience with programming languages such as C and C++.
8+ years of experience designing and leading real-time embedded and industrial solutions with hands-on experience.
4+ years of experience with GStreamer, an open-source framework used to build AI and multimedia product applications.
Experience with AI and Gen AI inference frameworks, including PyTorch, TensorFlow, ONNXRT, and Llama CPP; understanding of AI concepts and fundamentals, different AI model architectures, tensor layout, tensor conversion, and the mathematics required for tensor processing.
Experience with Gen AI orchestrators such as LangChain and LangFlow, including building agentic and RAG applications.
Experience with multimedia frameworks (Android, Tizen, or other operating systems), including understanding and knowledge of underlying HALs (camera, audio, video, graphics/display, CV, and USB/UVC).
Experience with Android frameworks, including understanding of AIDL/HIDL, Binder, development of system and vendor services, and writing Java/JNI bindings.
Experience building AI applications (vision- and audio-based), including traditional AI model architectures (classification, detection, segmentation, pose-net) and newer classes of AI models (Gen AI); understanding of pre- and post-processing of tensors required to integrate AI models into end-to-end pipelines with different media sources (camera, audio, text, etc.).
Experience with Linux system-level programming, multi-threading, concurrent execution, DMAs/IONs, and different IPCs, including Binder and gRPC, as well as zero-copy mechanisms.
Experience writing GLES/GLSL shader programs and working with programmable graphics pipelines.
Experience writing Vulkan shaders and working with programmable graphics pipelines.
Experience with Docker and containers, including understanding of general OCI container standards and specifications.
Hands-on development experience with Linux Embedded, Ubuntu, and Android platform software stacks.
Hands-on experience with the full software development life cycle, including design, implementation, deployment, and support.

Responsibilities

Apply software knowledge to assist and support the design, development, creation, modification, and validation of embedded edge software, applications, and/or specialized utility programs.
Design and develop multimedia, AI, and Gen AI SDKs and lead development team efforts.
Design and develop GStreamer-based plugins for QC hardware.
Design and develop software features for various categories of IoT products and systems.
Participate in feature design and coding, unit testing, software bug debugging, and integration efforts to ensure projects are completed on schedule.
Assist with code reviews, regression testing, and issue triaging to ensure code quality.
Collaborate with other project team members to accomplish project objectives.
Write technical documentation for software components and features.