#AI Infrastructure Software Engineer
- Compensation
- Not disclosed
- Location
- San Diego, California, United States of America
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- 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.
Nice to have
- Passion for learning new technologies, architectures, and operating systems.
- Experience developing software for multicore or heterogeneous processing environments.
- Interest in AI/ML acceleration, DSP technologies, and high-performance embedded computing.
- Self-starter with excellent collaboration and communication skills who thrives in a fast-paced engineering environment.
Full description
##
Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Software Engineering
General Summary:
This position is not eligible for Qualcomm immigration sponsorship.
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 Engineering, Information Systems, Computer Science, or related field.
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.