Android Engineer, C++

Binance

. Design and implement cross-platform mobile features for both Android and iOS using modern C++ .

Posted 9/18/2026full-timeRemote • SingaporeSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in cross-platform mobile development, particularly with C++ for Android and iOS, while integrating AI capabilities and optimizing performance for mobile applications. Proficient in collaborating with cross-functional teams to deliver high-quality features and enhance user experiences.

Highest-signal resume keywords

C++ DevelopmentCross-Platform Mobile DevelopmentAI Model DeploymentOpenGL/OpenGL ES PrinciplesAndroid and iOS Internals

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C++14 and AboveMobile Application DevelopmentAI Inference OptimizationLinux Memory ManagementPOSIX APIsComputer NetworksModel QuantizationPerformance OptimizationAI ArchitecturesCross-Platform Libraries

Soft Skills

Problem-SolvingCollaboration

Tools & Technologies

ChromiumOpenGL ESTensorFlow LiteCore MLONNX RuntimeLlama.cpp

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in Engineering

Industry Keywords

Mobile Technology LandscapeAI TechnologiesEdge AIMultimodal AIPerformance Analysis

Tech Stack

Tools & technologies

AndroidAssemblyiOSJavaScriptLinuxTensorflowC++

About the role

Key responsibilities & impact

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

What you’ll need

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