bus-architecture jobs in San Diego

Qualcomm seeks a Windows Performance Engineer to analyze and optimize software running on Windows for Snapdragon devices, working across multiple software layers including the OS kernel, compilers, drivers, and CPU microarchitecture. The role requires implementing performance optimizations while managing power consumption trade-offs, developing analysis tools, and collaborating with internal teams and external partners.…See more The ideal candidate will have deep expertise in C/C++, ARM assembly, CPU and memory architecture, and experience with Windows performance profiling tools like WPA.

Qualcomm seeks an experienced Windows Performance Engineer to analyze and optimize software running on Windows on Snapdragon devices across multiple system layers—OS, kernel, compiler, drivers, assembly, and CPU/SoC architecture. The role involves deep performance analysis of benchmarks and applications, implementing software optimizations to balance performance and power consumption, developing analysis tools, and collaborating with architects and cross-functional teams.…See more The engineer will act as a technical lead, own project outcomes, and drive optimization strategies for next-generation Windows on Snapdragon desktop devices. Strong technical credibility, self-management, and communication skills are essential.

Qualcomm seeks an embedded software engineer for the Core Platform Kernel Services team to develop and maintain drivers and kernel services across multiple operating systems (QuRT OS, Windows, Linux, QNX, FreeRTOS, Zephyr) that enable IPC and system-level debug on Qualcomm SOCs. The role involves designing protocols and algorithms for critical SOC functions, debugging across hardware/OS/compiler layers, and contributing to open-source solutions.…See more The candidate will own and define roadmaps for significant IPC stack areas while working with OEMs, ODMs, and OS providers on evolving use cases.

Senior Embedded Software Engineer role at Qualcomm's Data Center Business Unit focused on designing and developing software/firmware for cloud edge and data center ML acceleration on high-performance silicon. The role requires deep expertise in embedded systems including board support packages, device drivers, RTOS, secure boot, TrustZone, and low-speed peripherals (I2C/SPI/UART), combined with proficiency in C/C++ development, debugging with JTAG/SWD, and embedded Linux.…See more Responsibilities include ML acceleration, process-in-memory optimization, memory management, virtualization, and collaboration with cross-functional teams. Ideal candidate has 2+ years of low-level C programming and background in SoC architecture, DMA, PCIe, and multi-threaded programming.