Responsibilities - Design and implement cross-platform mobile features for both Android and iOS using modern C++. - Design and implement new features for our in-house mobile browser kernel based on Chromium, with a focus on Android and iOS. - Design and implement new features for our in-house mobile game engine based on OpenGL ES and native graphics technologies. - Explore and integrate AI capabilities into mobile applications, including on-device AI inference, LLMs, intelligent agents, and AI-powered user experiences. - Design and optimize AI-related components for mobile and edge devices, with a focus on inference latency, memory usage, CPU/GPU utilization, power efficiency, and overall user experience. - Collaborate with cross-functional teams to define, design, and deliver new features across Android, iOS, and shared C++ infrastructure. - Effectively integrate and utilize third-party data sources, AI services, SDKs, and APIs. - Write and execute unit tests to ensure code robustness, including edge cases, usability, and overall reliability. - Troubleshoot issues, fix bugs, and continuously improve application performance, stability, and responsiveness. - Balance high responsiveness, stability, efficiency, maintainability, and user experience when designing and implementing mobile systems. Requirements - 8+ years of solid software development experience, with significant experience in mobile or cross-platform development. - Strong C++ development experience, with solid knowledge of C++14 and above. - Solid understanding of cross-platform mobile development and the ability to work effectively across both Android and iOS. - Familiarity with Android internals, including SurfaceFlinger and the Android graphics/rendering pipeline, with the ability to read and understand relevant source code. - Familiarity with iOS system architecture and native development concepts. - Strong understanding of Linux memory management and experience with POSIX APIs. - Good knowledge of computer networks and experience developing cross-platform applications using C++.
- Good understanding of OpenGL/OpenGL ES principles and mobile graphics rendering. - Basic knowledge of ARM architecture and assembly is preferred. - Solid understanding of modern AI architectures, especially the Transformer architecture and core concepts such as attention mechanisms. - Familiarity with LLMs, AI agents, agentic workflows, and common AI application architectures. - Familiarity with on-device AI / edge AI, including model deployment, inference, quantization, and performance optimization on mobile devices. - Understanding of the trade-offs between model size, inference latency, memory consumption, power consumption, and accuracy on resource-constrained devices. - Bachelor's/Master's degree in Computer Science, Engineering, or a related field, or equivalent industry experience. - Good understanding of the mobile technology landscape, architectures, trends, and emerging technologies. Preferred Qualifications - Experience developing shared C++ infrastructure or libraries used across Android and iOS. - Experience with AI model deployment or inference optimization on Android, iOS, or other edge devices. - Experience with model quantization, pruning, KV cache optimization, or other techniques for improving on-device AI performance. - Familiarity with AI inference frameworks or runtimes such as llama. cpp, ONNX Runtime, TensorFlow Lite, Core ML, or similar technologies. - Experience integrating LLMs or AI agents into mobile applications. - Familiarity with multimodal AI, speech AI, or other on-device AI technologies is a plus. - Experience contributing to popular mobile libraries or maintaining a widely used open-source project. - Knowledge of Android and iOS performance analysis and optimization techniques.
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