on-device-ai jobs in San Diego

Design and build on-device security systems for Snap's Specs wearable devices, including permissions, access control, sandboxing, and trusted execution boundaries. Develop security and privacy controls for on-device AI features, focusing on model integrity, sensitive data handling, and inference-time protections.…See more Research and implement security features across Snap OS, firmware, applications, and cloud-connected surfaces. Improve fuzzing infrastructure, automated security testing, and continuous validation pipelines for OS components, IPC mechanisms, and AI data flows.

Develop and optimize AI sample applications for Windows on Snapdragon, covering diverse AI models and use cases while integrating Snapdragon-optimized libraries. Create performance and accuracy diagnostics, documentation, and features for the Qualcomm AI toolkit to support third-party application developers.…See more Analyze agentic AI platforms on Snapdragon and competing devices, develop hybrid local-cloud AI experiences, and provide technical guidance on customer issues and project planning.

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.

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.