power-optimization jobs in San Diego

Staff-level embedded audio software engineer responsible for designing, developing, and technically leading audio software that runs on Qualcomm Snapdragon processors. The role requires managing requirements analysis, documentation, troubleshooting, and cross-team collaboration while ensuring performance, latency, power, and stability metrics are met.…See more Candidates must have 4+ years of software engineering experience (or equivalent with advanced degree) and 2+ years with C, C++, Java, or Python, with preference for 8+ years in embedded systems development.

Design, develop, and optimize advanced power management software for next-generation mobile platforms, including 6G modem technologies. Enhance embedded software components for cellular modem systems, improve system efficiency through power optimization algorithms, and analyze complex system issues using debugging tools and traces.…See more Collaborate with hardware, firmware, and system teams to deliver optimized end-to-end solutions. Requires a Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field plus 2+ years of embedded or software engineering experience (or equivalent advanced degree with less experience).

Staff engineer leading architecture and evolution of Qualcomm's Ambient Perception Platform for always-on, context-aware AI on power-constrained edge devices. Responsibilities include designing low-power AI runtime platforms, multimodal sensing systems, secure data architectures, and heterogeneous computing frameworks across Android, Linux, Windows, XR, automotive, and IoT.…See more Requires 4+ years software engineering experience (or equivalent with advanced degree), 2+ years with C, C++, Java, or Python, and expertise in embedded systems, ARM/DSP/NPU optimization, and edge AI workload efficiency. Strong preference for 8–12+ years in software architecture, platform frameworks, and heterogeneous SoC development.

Design, implement, integrate, and commercialize video software modules on Qualcomm SoCs, including user and kernel mode drivers for playback, streaming, camcorder, and DRM use cases. Develop and optimize video compression, streaming protocols, and Agentic AI frameworks on Linux platforms while meeting performance, latency, power, and stability requirements.…See more Work with hardware and systems engineers to integrate cutting-edge video technology on Snapdragon processors for mobile and AI inferencing platforms. Requires expertise in Linux kernel development (V4L2, device drivers), video compression standards (H.264/H.265/AV1), streaming protocols (HLS/HTTP/RTSP/DASH), and embedded systems debugging.

As a Staff Software Engineer on Qualcomm's AI Software team, you will lead design and development of core features in the Qualcomm AI Stack (QAIRT and Genie), optimizing deep neural networks and large language models for execution on Snapdragon mobile platforms. You will drive AI runtime framework components for resource-constrained mobile systems, working closely with OEM partners and customer teams to deliver features, optimizations, and bug fixes required for product launches.…See more The role demands expertise in optimizing for power, memory, and performance constraints while maintaining high code quality through design reviews and mentoring junior engineers. You will debug complex system issues across software-hardware boundaries and proactively improve developer workflows, tools, and documentation.