Android Engineer (C++)

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.
• 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.