Embedded AI Infrastructure Engineer (RTOS, Multicore)

Qualcomm; San Diego (CA); On-site; USD 94,200 - 141,200; Full time

Job summary

Qualcomm Technologies, Inc. seeks a software engineer to develop embedded software across the full system stack for Snapdragon processors.

You will design, develop, and optimize core software frameworks powering AI and compute workloads across ML inferencing, computer vision, AR/VR, image and video processing, automotive, IoT, and more. You will tackle low‑level problems in IPC, memory management, execution environments, concurrency, and DSP acceleration, collaborating with cross‑functional

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, or a related technical field.
• Strong programming skills in 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.

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.

Skills

C

C++

Java

Python

RTOS

Embedded systems

Education

Bachelor's degree in Engineering/ CS/ related field

Job description

Qualcomm Technologies, Inc. seeks a software engineer to develop embedded software across the full system stack for Snapdragon processors.

You will design, develop, and optimize core software frameworks powering AI and compute workloads across ML inferencing, computer vision, AR/VR, image and video processing, automotive, IoT, and more. You will tackle low‑level problems in IPC, memory management, execution environments, concurrency, and DSP acceleration, collaborating with cross‑functional