Android Engineer, C++
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Job Description
Android Engineer building cross-platform C++ mobile features, browser and graphics systems for Binance. Integrating on-device AI, LLMs, and optimized inference across Android and iOS.
Responsibilities:
- Design and implement cross-platform mobile features for both Android and iOS using modern C++
- Design and implement new features for an in-house mobile browser kernel based on Chromium, focusing on Android and iOS
- Design and implement new features for an 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, focusing on inference latency, memory usage, CPU/GPU utilization, power efficiency, and user experience
- Collaborate with cross-functional teams to define, design, and deliver features across Android, iOS, and shared C++ infrastructure
- Integrate and utilize third-party data sources, AI services, SDKs, and APIs
- Write and execute unit tests, including for edge cases, usability, and reliability
- Troubleshoot issues, fix bugs, and improve application performance, stability, and responsiveness
- Balance responsiveness, stability, efficiency, maintainability, and user experience in 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
- 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
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