qurt jobs in San Diego

As a Product Manager for Hexagon and RISC-V embedded software, you will define product strategy and roadmaps for edge AI and heterogeneous compute platforms, drive developer experience across toolchains and RTOS ecosystems, and lead Qualcomm's engagement in open-source communities like Zephyr. You will translate market requirements into differentiated product direction, partnering with engineering, sales, and customers to identify opportunities in mobile, automotive, IoT, and compute markets.…See more The role requires deep technical expertise in embedded processor architectures, compilers, debuggers, profilers, and real-time operating systems, with hands-on familiarity with ARM, RISC-V, or similar architectures.

Design, implement, and optimize real-time embedded modem firmware across protocol layers and drivers while meeting strict latency, memory, and power constraints. Pioneer AI-native development practices by integrating AI coding agents, LLM-based code review, and automated test synthesis into daily workflows to accelerate delivery and debugging.…See more Own end-to-end feature delivery from requirements through on-target bring-up, and debug complex multi-layer hardware issues using AI-assisted analysis. Requires deep expertise in modern C/C++, embedded systems (DSP/Arm architectures), RTOS internals, data structures, and hands-on target hardware debugging, combined with practical experience using AI coding assistants and agentic tools.

Design, develop, and optimize real-time embedded modem software for Qualcomm's cellular platforms (5G/6G), working close to the metal with performant C/C++ on DSP and Arm cores across protocol layers, drivers, and RTOS components. Own end-to-end feature delivery from requirements through on-target validation, with strict latency, memory, and power constraints.…See more Pioneer AI-native development practices by integrating code-generation agents, LLM-based code review, and automated test synthesis into daily workflows to accelerate delivery and debugging. Debug complex multi-layer issues on target hardware, increasingly leveraging AI-assisted log and crash analysis.