AI-First Embedded Wireless Firmware Engineer

Qualcomm

San Diego (CA)

On-site

USD 104,000 - 156,000

Full time

11 days ago
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Job summary

Qualcomm Technologies, Inc. seeks an engineer to design, implement, and optimize real-time embedded modem software across protocol layers, drivers, and platform services.

You will own end-to-end feature delivery from requirements through on-target bring-up and maintenance. You will pioneer AI-native development practices, building AI-assisted tooling for code review, testing, and crash analysis while collaborating across systems, hardware, and integration teams to produce production-quality

Qualifications

  • Bachelor's degree required in a related field.
  • Strong command of data structures and algorithms.
  • Proficiency in modern C/C++ (C++17+).
  • Experience with embedded software on DSP/Arm architectures.
  • Familiarity with RTOS concepts and debugging on hardware.

Responsibilities

  • Design, implement, and optimize real-time embedded modem software across protocol layers, drivers, and platform services.
  • Own end-to-end feature delivery from requirements to on-target bring-up.
  • Pioneer AI-native development practices and build AI-assisted tooling for the modem codebase.
  • Collaborate with cross-functional teams to deliver production-quality firmware.
  • Mentor peers on embedded fundamentals and AI-native engineering techniques.

Skills

Data structures & algorithms
C/C++ (C++17+)
Embedded software
RTOS internals
AI-native engineering
Debugging on target hardware

Education

Bachelor's degree in Computer Engineering, Computer Science, or Electrical Engineering

Tools

JTAG
Logic analyzers
Crash-dump analysis

Job description

Qualcomm Technologies, Inc. seeks an engineer to design, implement, and optimize real-time embedded modem software across protocol layers, drivers, and platform services.

You will own end-to-end feature delivery from requirements through on-target bring-up and maintenance. You will pioneer AI-native development practices, building AI-assisted tooling for code review, testing, and crash analysis while collaborating across systems, hardware, and integration teams to produce production-quality

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