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Описание вакансии
Текст:
TL;DR
Android Engineer (C++) (Mobile/AI): Building cross-platform Android and iOS features, Chromium-based browser capabilities, and OpenGL ES mobile game engine functionality with an accent on shared C++ infrastructure and on-device AI. Focus on optimizing inference latency, memory and power consumption, integrating LLMs and AI agents, and maintaining responsive, stable mobile systems.
Location: Asia
Company
Binance develops cryptocurrency and blockchain products.
What you will do
- Design and implement cross-platform mobile features for Android and iOS using modern C++.
- Develop features for a Chromium-based mobile browser kernel and an OpenGL ES-based mobile game engine.
- Integrate on-device AI inference, LLMs, intelligent agents, AI services, SDKs, APIs, and third-party data sources.
- Optimize AI components for inference latency, memory usage, CPU/GPU utilization, power efficiency, and user experience.
- Collaborate across Android, iOS, and shared C++ infrastructure while writing unit tests, troubleshooting issues, and improving performance and stability.
Requirements
- 8+ years of software development experience, including significant mobile or cross-platform development.
- Strong C++14+ experience and the ability to work across Android and iOS.
- Knowledge of Android internals, including SurfaceFlinger and the graphics/rendering pipeline, plus familiarity with iOS system architecture.
- Strong understanding of Linux memory management, POSIX APIs, computer networks, OpenGL/OpenGL ES, and mobile graphics rendering.
- Understanding of Transformer architectures, attention mechanisms, LLMs, AI agents, on-device AI, model deployment, quantization, and mobile inference optimization.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent industry experience.
Nice to have
- Experience with shared C++ libraries, AI model deployment, inference optimization, quantization, pruning, or KV cache optimization.
- Familiarity with llama.cpp, ONNX Runtime, TensorFlow Lite, Core ML, multimodal AI, or speech AI.
- Experience integrating LLMs or AI agents into mobile applications.
- Experience contributing to popular mobile libraries or widely used open-source projects.
Culture & Benefits
- Cross-functional collaboration across mobile, graphics, browser engines, JavaScript engines, and AI technologies.
- Work on shared infrastructure supporting both Android and iOS.
- Focus on responsive, stable, efficient, maintainable mobile systems.
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