Android Engineer (C++)

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. • Strong problem-solving skills and the ability to work effectively across C++, Android, iOS, graphics, browser engines, JavaScript engines, and AI technologies.