Wireless Software Engineer
Technology, Data & Digital · Software & Web Development · Software Engineering · Embedded Systems
In short
Qualcomm is looking for a Wireless Software Engineer to design, develop, and optimize real-time embedded modem software using AI-native development practices. This role involves leveraging AI tooling for code generation, testing, and debugging complex firmware for cellular connectivity. The engineer will work on low-level firmware and protocol software for various devices.
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 Computer Engineering, Computer Science, Electrical Engineering, or related field.
- 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: 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; 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 success at work, at home, and at play.
- Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Skills
C++CAIMachine LearningLLM
#embedded software#modem#firmware#protocol#AI-native development#AI tooling#LLM#real-time#C/C++#DSP#Arm
About Qualcomm
Enabling a world where everyone and everything can be intelligently connected.
Enabling a world where everyone and everything can be intelligently connected.\n\n
Company
QualcommJob Posted
2 weeks ago
Employment Type
Full Time
Work mode
On Site
Salary
US$103,000–154,600 / year
Experience Level
Mid-Senior
Locations
Boulder, United States of America
Qualification
Bachelor
Applicants
Be an early applicant
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