AI-Driven Modem Software Engineer (C/C++)

Qualcomm Incorporated

San Diego (CA)

On-site

USD 118,000 - 177,000

Full time

9 days ago
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Job summary

Qualcomm Technologies, Inc. is seeking a Modem Software Engineer to design, develop, and optimize real-time embedded modem software for our MPSS.

You will write performant C/C++ for DSP and Arm cores, working across cellular protocol layers and platform services. Beyond traditional embedded work, this role requires leveraging AI-native development workflows, including AI-assisted code review, test synthesis, and crash triage.

Qualifications

  • Bachelor's degree with 2+ years software engineering experience or higher degrees as listed.
  • Proficient in C/C++ and embedded software for DSP/Arm platforms.
  • Experience with real-time OS concepts and debugging tooling.

Responsibilities

  • Design, implement, and optimize real-time embedded modem software across protocol layers, drivers, and platform services.
  • Apply data-structure and algorithm design for memory- and time-constrained environments.
  • Own end-to-end feature delivery: requirements, architecture, implementation, testing, bring-up.
  • Pioneer AI-native development practices, integrating AI coding agents and prompts.
  • Build and maintain AI-assisted tooling for code review, test synthesis, and crash/log triage.
  • Debug and root-cause complex issues on target hardware with AI-assisted analysis.

Skills

C/C++ programming
Embedded systems
RTOS concepts
Debugging (JTAG)
AI-native engineering

Education

Bachelor's degree in Engineering/CS or related
Master's degree in Engineering/CS or related
PhD in Engineering/CS or related

Tools

RTOS (QuRT, ThreadX, FreeRTOS)
DSP/Arm development

Job description

Qualcomm Technologies, Inc. is seeking a Modem Software Engineer to design, develop, and optimize real-time embedded modem software for our MPSS.

You will write performant C/C++ for DSP and Arm cores, working across cellular protocol layers and platform services. Beyond traditional embedded work, this role requires leveraging AI-native development workflows, including AI-assisted code review, test synthesis, and crash triage.

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