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.… 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.
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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.… 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.
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.… Requires strong C/C++ programming, real-time operating systems, driver development, and computer architecture expertise, with experience optimizing software on resource-constrained platforms.
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.… 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.