Senior Software Engineer – Edge AI/GenAI

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, 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.

Requirements

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
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, C++ and Python, with a strong track record of building high-performance software for embedded and industrial systems.
2+ Experience with AI and GenAI inference frameworks such as Py-Torch, TensorFlow, ONNX Runtime, Llama.cpp, and Lite-RT, along with a solid foundation in AI concepts, model architectures, model conversion techniques, tensor layouts, tensor transformations, and tensor-processing mathematics.
1+ years of experience designing and developing real-time embedded AI applications, with strong hands-on technical execution.
Hands-on experience with GenAI orchestration frameworks such as Lang-Chain and Llama-Index, including building agent-based systems and retrieval-augmented generation (RAG) pipelines and applications.
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.
End-to-end experience across the software development lifecycle, including architecture, design, implementation, deployment, and support.

Responsibilities

Design and development of AI, GenAI SDKs, and workflows 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.
Optimize AI Pipeline for performance, latency, memory footprint, and power efficiency.
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.