Drimva

Qualcomm

#Wireless Software Engineer

$109K–$164K

San Diego, California · On-site · Full-time · Posted Oct 1, 2026

Experience
No minimum years of experience stated; preferred qualification includes a Master's degree or 2 years of embedded software engineering experience.
Education
Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
Visa sponsorship
This position is not eligible for Qualcomm immigration sponsorship.

About the job

Develops and integrates embedded wireless software for advanced algorithms and standardized or proposed protocols, supporting research prototypes, trials, demonstrations, and industry showcases.

What you'll do

  • Design, develop, integrate, and maintain embedded software; debug and optimize it for performance, timing, and stability.
  • Translate system requirements into software designs and contribute to technical reviews, documentation, integration, and testing.
  • Collaborate with system architects and baseband, RF, and test engineers across the software development lifecycle.

What they ask for

  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
  • Proficiency in C/C++ programming and object-oriented software design and development.
  • Understanding of multithreading and OS fundamentals.
  • Analytical and problem-solving skills, with ability to communicate technical ideas and work status clearly.

Nice to have

  • Master's degree in a listed engineering or computer science field, or 2 years of work experience in an Embedded Software Engineering field.
  • Familiarity with debugging tools such as gdb and perf; experience with performance optimization, distributed systems, end-to-end applications, or wireless protocols is also preferred.

Pay

$109,400.00 - $164,200.00 USD base salary

Tools

C/C++, gdb, perf, 5G NR, LTE, 802.11

AI focus

The role develops research prototypes involving AI-powered context-aware communications and agentic AI. It also encourages adopting AI-based productivity tools.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 4, 2026 (UTC)