Software Gigs

Google
Posted 1 day ago

Lead a specialized team of software engineers developing innovative Pixel sensor experiences at the intersection of hardware, software, and AI. You will drive the design and implementation of real-time embedded systems that process sensor signals efficiently while applying machine-learning and signal-processing algorithms in a power-optimized manner. Required: 8 years software development experience, 5 years in computer vision or signal processing, 5 years leading ML design and infrastructure optimization, and 3 years technical leadership. This role demands deep expertise in embedded software, AI/ML algorithms, sensor fusion, and the ability to independently architect systems while managing a team.

San DiegoLast seen today
Qualcomm
$154,000 – $231,000Posted 4 days ago

Qualcomm seeks a Staff Embedded Software Engineer (6+ years) to design, implement, and maintain real-time operating system (RTOS) software components across QuRT OS and Zephyr RTOS platforms deployed on Qualcomm SoCs. You will own complex system-level issues, lead feature design from requirements through deployment, perform deep root-cause analysis on crashes and traces, and collaborate across hardware, systems, validation, and software teams. The role emphasizes technical leadership, ownership of large technical areas, and raising team quality through example while leveraging modern development tools and automation. Strong hands-on experience with RTOS concepts, C/C++, low-level system software, and embedded development is required.

San DiegoLast seen 2 days ago
Qualcomm
$192,600 – $289,000Posted 5 days ago

Qualcomm seeks a Principal Engineer to lead the architecture, design, and development of XR platform software (AR/VR/MR) on Snapdragon platforms. The role requires deep expertise in C++, heterogeneous computing (CPUs, GPUs, DSPs, AI accelerators), Android/Linux embedded systems, and system-level performance optimization. Responsibilities include defining platform requirements, conducting architecture trade-offs for power/latency/performance, collaborating with computer vision and AI/ML teams, and driving technical decisions across multiple product areas. The ideal candidate brings commercial product experience and expertise in computer vision, graphics, SLAM, sensor fusion, or XR frameworks.

San DiegoLast seen 3 days ago