low-power-optimization jobs in San Diego

Staff or Senior Staff Software Engineer role leading design and development of Qualcomm's AI Stack (QAIRT/Genie) to enable efficient execution of generative AI models and large language models on low-power Snapdragon platforms. Responsibilities include developing core runtime components for resource-constrained inference systems, optimizing performance/accuracy/power consumption, debugging complex issues, and mentoring junior engineers.…See more Requires 5–8+ years of software development experience with strong C/C++ and Linux proficiency, plus knowledge of hardware acceleration and embedded AI deployment.

Design and develop embedded platform software for CPU, DSP, and NPU processors in Qualcomm's Snapdragon SoC portfolio, optimizing for AI inference, computer vision, and multimedia workloads. Build high-performance drivers, runtime libraries, and multi-processor frameworks that unlock DSP and AI hardware acceleration.…See more Profile and optimize system performance at the microarchitecture level to achieve low latency and low power on resource-constrained platforms. Collaborate with hardware, tools, and firmware teams to evaluate design trade-offs and support commercialization with OEM partners.