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5G​/6G Modem Software Engineer

Job in San Diego, San Diego County, California, 92189, USA
Listing for: Qualcomm
Full Time position
Listed on 2026-06-01
Job specializations:
  • Software Development
    Embedded Software Engineer, Software Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Company

Qualcomm Technologies, Inc.

Job Area

Engineering Group >
Modem Technologies Software

Overview

Qualcomm Technologies (QCT) is the world's leading innovator in wireless connectivity and intelligent computing, powering the devices and infrastructure at the heart of the 5G era. Our Snapdragon platforms — spanning smartphones, automotive, IoT, and XR — integrate advanced 5G modem‑RF systems with on‑device AI to deliver breakthrough experiences at the connected intelligent edge. QCT partners with 100+ network operators worldwide and maintains the industry's largest modem engineering organization, driving the standards and technologies behind 5G‑Advanced and the path toward 6G.

As a member of the Modem SW team, you will design and develop modem software that powers 5G/6G  across Qualcomm's Snapdragon chipset portfolio. You will work across protocol stack layers (L1/L2/L3) to implement 3

GPP‑compliant features, develop real‑time scheduling and resource management algorithms, and use custom scripting languages to dynamically reconfigure the modem in response to real‑time network conditions, device states, and AI‑driven optimization signals. You will also architect next‑generation frameworks that enable our OEM and operator partners to deliver differentiated 5G experiences. Your work will directly influence how billions of devices connect, communicate, and leverage on‑device intelligence.

We are looking for engineers with a strong foundation in C/C++ software design and real‑time embedded systems, deep understanding of wireless communication principles, a sharp problem‑solving mindset, and a passion for shaping the future of wireless connectivity and AI‑powered communications.

Responsibilities
  • Design, develop, debug, and optimize modem firmware/software for LTE, 5G‑Advanced protocol stack layers and early 6G research prototyping
  • Develop and maintain real‑time embedded software on proprietary RTOS (QuRT) with strict latency and throughput constraints
  • Collaborate with systems, architecture, and hardware teams on modem bring‑up, integration, and performance optimization
  • Analyze and resolve complex field issues, interoperability problems, and network‑specific behaviors using protocol logs, trace tools, and debuggers
  • Write and maintain unit tests, integration tests, and automation scripts to ensure software quality
  • Participate in code reviews, design discussions and technical documentation
Minimum Qualifications
  • Bachelor's degree in Computer Science, Electrical Engineering, Electronics/Communication Engineering, or a related field
  • 1–2 years of academic or industry experience in C/C++ programming
  • Foundational understanding of embedded systems, real‑time operating systems, and data structures & algorithms
  • Basic knowledge of wireless communication concepts (OFDM, MIMO, channel coding) or digital signal processing fundamentals
Preferred Qualifications
  • Master's degree in Computer Science, Electrical Engineering, Electronics/Communication, or Wireless Communications
  • 2+ years of industry experience in embedded software development for wireless/telecom systems
  • Experience with Real‑Time Operating Systems (RTOS) such as QuRT, FreeRTOS, Thread

    X, or Zephyr
  • Strong software design and object‑oriented design/implementation skills (design patterns, SOLID principles)
  • Working knowledge of 3

    GPP 5G  / LTE specifications (TS 38.xxx / TS 36.xxx series)
  • Experience with modem protocol stack development, state machines, or wireless protocol implementation
  • Familiarity with AI/ML fundamentals and interest in applying machine learning to modem optimization (e.g., adaptive scheduling, predictive resource management, beam prediction, link adaptation)
  • Understanding of scripting or domain‑specific languages for system configuration and modem parametrization
  • Experience with debugging and performance profiling in embedded environments (JTAG, Trace
    32/Lauterbach, QXDM, log analysis tools)
  • Familiarity with version control systems (Git/Perforce), CI/CD pipelines, and Agile development practices
  • Knowledge of multi‑threading, concurrency, inter‑process communication, and memory management in resource‑constrained environments
  • Experience with simulation/emulation…
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