Embedded AI Infrastructure Engineer

Qualcomm

San Diego (CA)

On-site

USD 94,200 - 141,200

Full time

14 days+

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Job summary

Qualcomm Technologies, Inc. in San Diego, CA, is seeking an AI Infrastructure Software Engineer to develop embedded software across the full system stack for Snapdragon processors.

You will design IPC, memory management, and DSP acceleration frameworks to support AI and multimedia workloads. Responsibilities include optimizing system performance, debugging across diverse environments, and collaborating with cross-functional teams to deliver high-performance solutions for Snapdragon-based

Qualifications

  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
  • Strong programming skills in C, C++, Java, or Python.
  • Experience with real-time operating systems and embedded software.
  • Familiarity with inter-processor communication, memory management, and DSP acceleration is preferred.

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.

Skills

C
C++
Python
Java
Embedded systems

Education

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field

Tools

Linux
Android
Windows
RTOS

Job description

Qualcomm Technologies, Inc. in San Diego, CA, is seeking an AI Infrastructure Software Engineer to develop embedded software across the full system stack for Snapdragon processors.

You will design IPC, memory management, and DSP acceleration frameworks to support AI and multimedia workloads. Responsibilities include optimizing system performance, debugging across diverse environments, and collaborating with cross-functional teams to deliver high-performance solutions for Snapdragon-based

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