Senior Embedded Software Engineer role at Qualcomm's Data Center Business Unit focused on designing and developing software/firmware for cloud edge and data center ML acceleration on high-performance silicon. The role requires deep expertise in embedded systems including board support packages, device drivers, RTOS, secure boot, TrustZone, and low-speed peripherals (I2C/SPI/UART), combined with proficiency in C/C++ development, debugging with JTAG/SWD, and embedded Linux.… Responsibilities include ML acceleration, process-in-memory optimization, memory management, virtualization, and collaboration with cross-functional teams. Ideal candidate has 2+ years of low-level C programming and background in SoC architecture, DMA, PCIe, and multi-threaded programming.
dma jobs in San Diego
Qualcomm seeks a Staff Engineer to develop Linux device drivers for machine learning inference accelerators (AI 100). The role involves Linux kernel driver development, PCIe virtualization (SR-IOV), hardware simulation, and upstreaming code contributions.… Required expertise includes kernel modules, HWMon, sysfs debugging, RTOS, SoC architecture, DMA, and embedded C development. Candidates should have 4+ years of relevant experience and familiarity with high-speed interfaces, virtualization (KVM), and security-related kernel subsystems.
Staff-level embedded software engineer responsible for designing and developing AI, GenAI, and multimedia SDKs/frameworks for IoT edge devices (drones, cameras, AI boxes, appliances). The role requires architecting high-performance inference pipelines, multi-stream AI processing, and GStreamer-based plugins for Qualcomm hardware platforms.… Must have 5+ years of C/C++ experience in embedded systems, strong knowledge of AI inference frameworks (PyTorch, TensorFlow, ONNX Runtime, LiteRT), GenAI orchestration tools (LangChain, LlamaIndex), and multimedia/HAL integration across Android, Tizen, and Linux. Ownership spans architecture, design, implementation, and deployment of production-quality SDK components.
Design, implement, and optimize real-time embedded modem firmware across protocol layers and drivers while meeting strict latency, memory, and power constraints. Pioneer AI-native development practices by integrating AI coding agents, LLM-based code review, and automated test synthesis into daily workflows to accelerate delivery and debugging.… Own end-to-end feature delivery from requirements through on-target bring-up, and debug complex multi-layer hardware issues using AI-assisted analysis. Requires deep expertise in modern C/C++, embedded systems (DSP/Arm architectures), RTOS internals, data structures, and hands-on target hardware debugging, combined with practical experience using AI coding assistants and agentic tools.
Qualcomm Cloud AI team seeks a Linux device driver engineer to develop and extend Linux kernel driver code for QCR-100 accelerators and related products that handle image reprocessing and AI workloads. The role focuses on PCIe device setup, firmware loading, MHI bus, DMABUF importation, and DMA transfers.… Required expertise includes Linux kernel driver development, C programming, git, and low-level debugging. Desirable experience includes PCIe stack knowledge, DMA/IOMMU understanding, DEB/RPM packaging, and embedded Linux systems connected via PCIe.