Posted
01 Oct 2026
Last seen
01 Oct 2026
Location
APAC
Lifecycle
fresh
Grade
C
Why this grade
This listing scored 61/100, which is a C. It lost the most ground on pay transparency.
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 15 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
-5 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Full-Time Any Software Engineering
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.
Compensation
Additional Information
Apply for this role Opens jobicy.com — the link as listed; we have not yet verified it is the employer's own page
Where this listing came from
- 01 Oct 2026 Jobicy first sighting
Seen on 1 board over 0 days.