AI Solution Software Engineer

Company: Qualcomm China Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Role Summary We are seeking a AI solution Software Engineer focused on end-to-end latency optimization across heterogeneous compute IPs (GPU, NPU, ISP, CPU). You will play a key role in designing, profiling, and optimizing using low latency cross-IP signaling protocol(Synx) for AI, camera, and graphics pipelines. This position involves close collaboration with camera, GPU, DSP, AI, and kernel teams to deliver low-latency, power-efficient solutions for leading OEMs Key Responsibilities • Own cross‑IP synchronization architecture (GPU/DSP/ISP/CPU), designing Synx flows and HW fence interop to minimize cross IP(ISP/NSP/GPU/EVA.etc) communication latency. • Work with global team to do Synx solution optimization and China OEM Feature request development • Design & integrate Synx interop (e.g., ICP↔NSP, EVA↔NSP) including queueing, signaling, error/flush/SSR handling, and async execution models for AI nodes, shepherd feature commercialization. • Partner with kernel, camera (CamX), GPU, and AI teams to co‑design buffer lifecycle and synchronization semantics (DirectLink or native Synx) to avoid unnecessary copies, RPC overheads, and wakeups. • Guide OEMs to optimize their customized use cases using Qualcomm’s cross-IP synchronization mechanism. Basic Qualifications • MS or higher in Computer Science, Electrical/Computer Engineering, or related field, with 8+ years of relevant software/embedded experience; or equivalent industry experience. • Strong programming skills in C/C++. And Solid understanding of computer architecture and real-time OS and concurrency: scheduling, threads, locks, interrupt handling, memory hierarchy, DMA/IO, and HW/FW interactions. • Strong knowledge of synchronization primitives (fences, semaphores, mailboxes), shared‑memory transports, and inter‑processor signaling (e.g., IPCC/IPCC‑Lite, RPMsg/OpenAMP or comparable). • Strong self-motivation and ability to drive tasks independently. • Excellent communication skills in English (and Chinese a plus); ability to work with global teams and Tier‑1 OEMs. Preferred Qualifications • Familiarity with Qualcomm SoC architecture (ISP, NSP/CDSP, GPU, interconnect/QoS, IOMMU) or similar heterogeneous platforms. • Familiarity with Qualcomm Camera pipeline & AI algorithm integration with QNN • Experience with Kernel driver work on camera/graphics/NPU subsystems (DMA‑BUF, fencing, IOMMU); hands‑on buffer lifecycle management and zero‑copy designs. • Experience with performance profiling and debugging on Android/Linux (e.g., ftrace/systrace, perf, camera/GPU traces, HW counters). Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. • 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. 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