AI Infrastructure Software Engineer - Qualcomm

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General Summary:

Qualcomm’s AI Infrastructure Software team is seeking a highly motivated and versatile software engineer to develop cutting-edge embedded software across the full system stack on Qualcomm Snapdragon® processors. In this role, you will design, develop, and optimize core software frameworks that power next-generation AI and compute workloads across a broad range of applications, including machine learning inferencing, computer vision, virtual/augmented reality, image and video processing, automotive systems, IoT, sensors, audio, and more.

You will work on challenging low-level software problems involving inter-processor communication, memory management, execution environments, concurrency management, and DSP acceleration frameworks. This is an excellent opportunity to contribute to technologies that enable high-performance, power-efficient computing on industry-leading Snapdragon platforms.

Key Responsibilities

• Design and implement embedded system software across multiple layers of the software stack.
• Develop and optimize inter-processor communication (IPC) and memory management solutions.
• Build software frameworks that enable efficient DSP acceleration for AI and multimedia workloads.
• Debug, profile, and optimize system performance across diverse hardware and software environments.
• Collaborate with cross-functional teams to deliver scalable, high-performance solutions for Snapdragon-based products.

Join Qualcomm's AI Infrastructure team and help shape the software foundation powering the future of intelligent computing on Snapdragon platforms.

Minimum Qualifications:

• Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field.
• 2+ years of experience with high-performance microprocessor design.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, or a related technical field.
• Strong programming skills in one or more languages such as C, C++, Java, or Python.
• Solid understanding of computer architecture, operating systems, and embedded systems concepts.
• Knowledge of real-time operating systems (RTOS) and concurrent software design.
• Experience with software debugging, performance analysis, and system optimization techniques.
• Familiarity with multimedia, compute, and driver frameworks on Linux, Android, or Windows platforms.
• Strong problem-solving skills with the ability to work independently and drive technical solutions.

Preferred Attributes

• Passion for learning new technologies, architectures, and operating systems.
• Experience developing software for multicore or heterogeneous processing environments.