Wireless Software Engineer

• 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. You default to designing workflows where an AI agent does the first draft of code, tests, and analysis, and the engineer curates, validates, and hardens.
• 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.
• Bonus: experience fine-tuning, prompt-engineering, or building tooling around code models; familiarity with embedding/vector search over source repositories.

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