#Wireless S/w Engineer

About the Role

The Modem Systems Software team builds low-level firmware and protocol software for cellular connectivity. This role is explicitely AI-native, expecting candidates to leverage and improve AI-assisted development workflows.

Key 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 & Tech Stack

• C/C++ (modern, C++17 and beyond)
• DSP and Arm architectures
• RTOS internals (e.g., QuRT, ThreadX, FreeRTOS, or similar)
• AI coding assistants and agentic tools (e.g., GitHub Copilot, Cline, Claude/GPT-based agents)
• JTAG, logic analyzers, protocol analyzers
• Familiarity with SIMD/vectorization, DMA, and low-power design.
• Familiarity with device drivers, HAL layers, boot flows, and hardware/software co-design.
• Bonus: experience fine-tuning, prompt-engineering, or building tooling around code models; familiarity with embedding/vector search over source repositories.

Qualifications

• 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.
• Proven programming proficiency in modern C/C++, including performance optimization, cache-aware design, and lock-free/thread-safe patterns.
• Experience with embedded software on DSP and Arm architectures.
• Experience with debugging on target hardware — JTAG, logic analyzers, protocol analyzers, crash-dump / RAM-dump analysis, and log parsing.
• AI-first mindset: treating AI tooling as a core engineering multiplier.
• Experience using AI coding assistants and agentic tools 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.
• Interest in AI-assisted test generation and verification.
• Comfort evaluating AI output critically: understanding hallucination risks, validating generated code against timing/memory budgets, and enforcing safety and correctness in real-time firmware.

Compensation

• $114,500.00 - $171,700.00
• Competitive annual discretionary bonus program.
• Opportunity for annual RSU grants.
• Highly competitive benefits package.