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.
Show the full description
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.
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