Senior Wireless S/W Engineer

Technology, Data & Digital · Software & Web Development · Software Engineering

In short

Qualcomm is seeking a Senior Wireless Software Engineer to design, develop, and optimize real-time embedded modem software using C/C++. This AI-native role involves pioneering AI-assisted development workflows, integrating AI coding agents, and building AI-augmented tooling for enhanced delivery and debugging. The position requires a strong background in embedded systems, data structures, algorithms, and operating system concepts.

Responsibilities

Design, implement, and optimize real-time embedded modem software across protocol layers, drivers, and platform services, meeting strict latency, memory, and power constraints.
Apply rigorous data-structure and algorithm design to build efficient, scalable firmware components.
Own end-to-end feature delivery: requirements, architecture, implementation, unit/integration testing, on-target bring-up, and maintenance.
Pioneer AI-native development practices within the team — integrate AI coding agents into daily workflows, establish agent rules and prompt patterns, and measurably reduce development and debug cycle time.
Build and maintain AI-assisted tooling for code review, static analysis, test synthesis, and automated crash/log triage over the modem codebase.
Debug and root-cause complex, multi-layer issues on target hardware, increasingly leveraging AI-assisted analysis of logs, traces, and RAM dumps.
Collaborate cross-functionally with systems, hardware, test, and integration teams to deliver production-quality modem firmware.
Contribute to code reviews, design reviews, and continuous improvement of engineering standards — including standards for the responsible and effective use of AI in the SDLC.
Mentor peers on both embedded fundamentals and AI-native engineering techniques.

Requirements

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
OR PhD in Engineering, Information Systems, Computer Science, or related field.
2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
Strong command of data structures and algorithms with the ability to reason about time/space complexity in memory- and cycle-constrained environments.
Deep understanding of operating systems concepts: scheduling, concurrency, interrupts, memory management, IPC, real-time constraints, and RTOS internals (e.g., QuRT, ThreadX, FreeRTOS, or similar).
Proven programming proficiency in modern C/C++ (C++17 and beyond), including performance optimization, cache-aware design, and lock-free/thread-safe patterns.
Experience with embedded software on DSP and Arm architectures, including familiarity with SIMD/vectorization, DMA, and low-power design.
Experience with debugging on target hardware — JTAG, logic analyzers, protocol analyzers, crash-dump / RAM-dump analysis, and log parsing.
Familiarity with device drivers, HAL layers, boot flows, and hardware/software co-design.
AI-first mindset: you treat AI tooling as a core engineering multiplier, not an afterthought.
Experience using AI coding assistants and agentic tools (e.g., GitHub Copilot, Cline, Claude/GPT-based agents) to generate, refactor, and review embedded C/C++ at scale.
Ability to build and maintain AI-augmented developer workflows: prompt libraries, agent rules, retrieval-augmented context over large firmware codebases, and MCP-style tool integrations.
Experience applying LLMs to crash triage, log summarization, root-cause analysis, and automated defect classification in complex embedded systems.
Interest in AI-assisted test generation and verification — synthesizing unit/integration tests, fuzzing harnesses, and coverage-driven test expansion for modem software.
Comfort evaluating AI output critically: understanding hallucination risks, validating generated code against timing/memory budgets, and enforcing safety and correctness in real-time firmware.

Desired Qualifications

Bonus: experience fine-tuning, prompt-engineering, or building tooling around code models
Bonus: familiarity with embedding/vector search over source repositories

Benefits

Competitive annual discretionary bonus program
Opportunity for annual RSU grants
Highly competitive benefits package designed to support your success at work, at home, and at play
Information about US benefits available at a link
Reasonable accommodations to support individuals with disabilities to be able participate in the hiring process
Accessible workplace for individuals with disabilities

Skills

C++CPythonJava

#firmware#protocol software#embedded software#real-time#C/C++#DSP#Arm#AI-native#LLM#coding agents#test synthesis#log triage#data structures#algorithms#operating systems#RTOS#debugging#wireless#modem