Senior Director of Engineering - AI Platform

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Qualcomm is seeking a visionary and execution-focused Senior Director of Engineering to lead AI for  Snapdragon Compute platforms. This leader will define and drive Qualcomm's Compute AI software strategy across Snapdragon-powered Windows, Android, Linux PCs, enabling next-generation AI experiences and establishing Snapdragon as the premier platform for on-device AI computing. The successful candidate will lead a global organization responsible for AI systems, model enablement, NPU, GPU, CPU software integration, AI performance optimization, developer enablement, AI benchmarking, ecosystem partnerships, and joint engineering engagements with Microsoft, Google, OEMs, ISVs, and strategic technology partners. This role requires a unique combination of AI technical depth, platform systems expertise, and ecosystem influence to deliver industry-leading AI experiences spanning AI PCs, generative AI, multimodal AI, agentic AI, AI developer platforms, and future Snapdragon compute architectures. The role operates at the intersection of architecture, hardware, systems, software, AI algorithms, developer tools, and ecosystem enablement. Principal Duties and Responsibilities AI Strategy and Technical Leadership Define and execute Qualcomm's AI software strategy for Windows on Snapdragon platforms. Drive creation of differentiated AI experiences leveraging Snapdragon CPUs, NPUs, GPUs, and heterogeneous compute architectures. Influence future AI platform architecture requirements, software roadmaps, and ecosystem strategy. Establish long-term technology direction for on-device AI, generative AI, large language models, multimodal AI, computer vision, and agentic AI workloads. Partner with Compute, AI Software, System, Product Management, Customer Engineering, and Architecture teams to align investment priorities and execution plans. Microsoft and Ecosystem Leadership Serve as engineering leader for strategic AI engagements with Microsoft. Drive co-engineering activities across Windows AI, WinML, Windows AI Foundry, ONNX Runtime, Copilot+, and next-generation Windows AI capabilities. Partner with Microsoft engineering organizations to define platform requirements, feature roadmaps, validation strategies, and performance targets. Lead engagements with OEMs, commercial customers, independent software vendors, and open-source communities to expand the AI ecosystem on Snapdragon PCs. Represent Qualcomm in executive-level technical discussions with strategic partners. AI Platform and Systems Engineering Lead teams responsible for end-to-end AI software enablement across Snapdragon compute products. Drive optimization of AI workloads across NPU, GPU, CPU, and hybrid execution environments. Oversee AI runtime integration, model deployment frameworks, developer tooling, and software release readiness. Ensure successful enablement of emerging AI technologies and platform capabilities across current and future Snapdragon compute generations. Guide platform-level analysis involving performance, power efficiency, memory utilization, concurrency, scalability, and user experience. AI Model Enablement and Optimization Drive onboarding, optimization, quantization, validation, and deployment of AI models on Snapdragon Compute platforms. Lead development of model acceleration strategies for generative AI, vision models, language models, multimodal models, and emerging workloads. Ensure world-class AI performance and efficiency through software and system optimization initiatives. Partner with AI framework teams to address operator gaps, conversion challenges, runtime enhancements, and model portability requirements. AI Benchmarking and Competitive Leadership Define benchmarking strategy and performance targets for AI workloads. Drive leadership results across industry benchmarks and customer-facing workloads. Establish