npu jobs in San Diego

Sr. Staff DSP Software Integration Engineer at Qualcomm responsible for driving integration, validation, and commercialization of embedded DSP and NPU software across platforms.…See more The role requires debugging complex software and system issues in real-time embedded environments, developing continuous integration and automated testing processes, and collaborating across hardware, firmware, systems, and architecture teams. Required experience includes 6+ years of software engineering, 3+ years programming in C, C++, Python, or Java, embedded systems development, and source control/Git workflows. Preferred experience spans DSP, NPU, AI/ML, RTOS, SoC architectures, and large-scale software integration efforts.

Design and develop machine learning models for computer vision domains including optical flow, depth estimation, visual tracking, SLAM, and 3D reconstruction on Qualcomm Snapdragon platforms. Own end-to-end algorithm implementation from research through production deployment, including training pipeline development, dataset creation, model optimization, and on-device performance tuning.…See more Lead technical direction across projects, influence system-level architecture, and partner with hardware engineers on silicon design. Requires 6+ years of software/hardware/systems engineering experience (or equivalent with Master's/PhD) and demonstrated expertise in on-device ML deployment, neural network optimization, and computer vision algorithm development.

Lead end-to-end robotics system architecture spanning hardware, firmware, OS, middleware, AI runtimes, and cloud integration at the principal/director level. Define architectural principles for real-time behavior, performance, safety, determinism, and scalability across heterogeneous compute (CPU/GPU/DSP/NPU/MCU), and guide decisions across perception, localization, navigation, planning, manipulation, and control stacks.…See more Architect multi-sensor systems with precise timing/synchronization (PTP/IEEE 1588), sensor fusion pipelines, and ROS 2/DDS-based middleware. Provide technical leadership, mentorship, hiring standards, and influence multi-year platform strategy.

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.

Senior embedded DSP software engineer role developing platform software for CPU, DSP, and NPU processors in Snapdragon SoCs. Responsibilities include designing multi-processor multimedia and AI frameworks, developing high-performance drivers and runtime libraries, profiling and optimizing system performance for DSP acceleration, and collaborating with hardware and firmware teams on design trade-offs.…See more Requires strong C/C++ programming, real-time operating systems, driver development, and computer architecture expertise, with experience optimizing software on resource-constrained platforms.

Own end-to-end feature development for Voice AI on Windows, including wake-on-voice, ASR, translation, transcription, and TTS. Design and implement Windows audio driver stack solutions (UMDF/KMDF) that leverage Qualcomm SoC CPU/DSP/NPU capabilities while meeting strict latency and power targets.…See more Debug complex multi-threaded, multi-processor issues across hardware/software boundaries and optimize for low-power always-on scenarios. Collaborate with cross-functional teams (hardware, DSP, ML, systems, product) and communicate status, risks, and mitigations to stakeholders.

Own end-to-end feature development for Voice AI on Windows, including wake-on-voice, ASR, translation, transcription, and TTS. Design and implement Windows audio and driver stack solutions leveraging Qualcomm SoC capabilities while meeting strict latency and power targets.…See more Build components across user-mode and kernel-mode boundaries using UMDF/KMDF, integrating with Windows audio frameworks. Optimize performance and debug complex multi-threaded issues across hardware/software boundaries.

Design and architect next-generation mobile computer vision and deep learning systems for Qualcomm's AI accelerators and heterogeneous platforms. Define hardware-aware algorithm implementations, deep learning engine architectures, HW/SW partitioning strategies, and performance/power optimization across CPUs, GPUs, DSPs, NPUs, and dedicated accelerators.…See more Analyze neural network workloads, drive top-down architecture exploration, and collaborate with hardware teams to translate state-of-the-art CV and AI models into efficient mobile implementations.

Principal Software Engineer leading AI software strategy and architecture for Qualcomm's automotive platform. Responsibilities include architecting and deploying advanced AI workloads (computer vision, LLMs, multimodal models, generative AI) on automotive systems, driving cross-functional technical decisions across AI, automotive engineering, and platform teams, mentoring engineers organization-wide, and ensuring solutions meet automotive safety, performance, and reliability requirements.…See more Requires 8+ years of software/systems engineering experience (or equivalent with advanced degree); preferred qualifications include 15+ years in AI/ML, embedded systems, or automotive software, expert C/C++ proficiency, and demonstrated experience with automotive safety standards (ISO 26262, ASPICE), edge AI inference, and Qualcomm AI frameworks.

Design, architect, and deploy on-device AI prototype software for edge computing applications at Qualcomm's AI Research division. You will work with modern deep learning frameworks (PyTorch), optimize neural network models for embedded deployment, and integrate cutting-edge AI technologies into mobile, IoT, and autonomous systems.…See more The role requires strong Python and C/C++ skills, deep learning expertise, embedded software development experience, and solid software engineering fundamentals.

Senior ML engineer role focused on architecting, designing, and deploying on-device AI prototype software at the edge. Requires strong Python and C/C++ skills, deep learning expertise (PyTorch), and embedded software development experience.…See more The role involves model fine-tuning, quantization, hardware acceleration, and inference optimization for deployment on smartphones, autonomous vehicles, IoT, and robotics platforms. Must have 3+ years relevant experience and a strong theoretical ML background combined with modern software engineering practices.

Staff Machine Learning Engineer role focused on designing and maintaining Qualcomm AI Hub's end-to-end ML compilation pipeline, from PyTorch and ONNX model ingestion through graph optimization to deployable artifacts on Snapdragon SoCs. Responsibilities span compiler infrastructure (graph transformation, op validation, backend dispatch across CPU/GPU/NPU), model catalog automation and CI/CD, and developer tooling for profiling and debugging.…See more Requires 4+ years of software/systems engineering experience (or 3+ with a master's, or 2+ with a PhD), with preferred expertise in ML compiler concepts, ONNX/PyTorch export workflows, and on-device deployment frameworks.

Senior Machine Learning Engineer responsible for architecting, designing, developing, and deploying on-device AI prototype software for edge computing applications. The role requires expert-level proficiency in C++ and Python, deep knowledge of ML frameworks like PyTorch, and hands-on experience with low-level system debugging, performance tuning, and native inference driver development.…See more You will work in a multi-disciplinary research team advancing generative AI technology for the edge, including model fine-tuning, hardware acceleration, model quantization, and edge inference. A strong theoretical background in deep learning combined with embedded software development experience and modern software engineering best practices is essential.

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.

Join Qualcomm AI Research as a Machine Learning Engineer to architect, design, develop, and deploy on-device AI prototype software for edge devices. You will work with a multi-disciplinary team using cutting-edge AI frameworks, focusing on model fine-tuning, quantization, and edge inference.…See more Strong Python, deep learning frameworks (PyTorch), object-oriented design, and software engineering best practices are required. Preferred qualifications include generative AI knowledge, neural network optimization, NPU/ML accelerator experience, Android programming, C/C++, and embedded software skills.

As a Staff Product Data Manager for AI Platforms & Systems Solutions at Qualcomm, you will own the product strategy, definition, and lifecycle for AI platform products and specifications spanning model enablement, agentic systems, orchestration runtimes, and open protocols. You will develop comprehensive plans of record including schedules, budgets, and resources, directing products from conception through end of life while functioning as a central resource across systems, engineering, standards, quality, marketing, and partner teams.…See more The role requires deep fluency in the Windows edge-AI stack, with technical depth across AI/ML models, agentic systems, orchestration engines, standards development, and hands-on experience delivering Windows-based AI products leveraging local accelerators (CPU, GPU, NPU). You will translate emerging model, agentic, and orchestration trends into differentiated product and specification roadmaps.