Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.
Job Responsibilities :Key ResponsibilitiesThis role encompasses a wide range of responsibilities, bridging mobile development, back-end systems, and AI/ML:
End-to-End Android Application Development:
Designing, developing, and maintaining native Android applications using Kotlin or Java.
Building intuitive and responsive user interfaces (UI) and user experiences (UX) specific to the Android platform, adhering to Material Design principles.
Implementing device-specific features, handling various screen sizes, and optimizing for mobile performance.
Back-end System Development:
Building and maintaining server-side applications, APIs (RESTful, GraphQL), and business logic to support the Android application.
Working with various back-end programming languages (e.g., Python, Node.js, Java, Go) and frameworks.
Managing databases (SQL like PostgreSQL, MySQL; NoSQL like MongoDB, Firebase) to store and retrieve application data.
AI/ML Model Integration and Deployment:
Integrating pre-trained or custom AI/ML models into Android applications for on-device inference or via cloud APIs.
Optimizing AI/ML models for mobile environments, considering device constraints (e.g., battery life, processing power, memory).
Working with AI/ML frameworks and libraries relevant to mobile (e.g., TensorFlow Lite, ML Kit, Core ML for potential cross-platform insights).
Collaborating with data scientists and AI engineers to understand model requirements and deployment strategies.
Data Handling and Processing:
Designing efficient data storage solutions for both on-device and cloud data.
Implementing data pipelines to feed data to AI models and process results.
Performance Optimization and Security:
Ensuring the performance, quality, and responsiveness of Android applications, especially when integrating AI features.
Identifying and correcting bottlenecks, optimizing code, and fixing bugs across the entire stack.
Implementing robust security measures for both the mobile application and back-end systems, protecting user data and AI models.
Collaboration and Project Management:
Working closely with UI/UX designers, product managers, data scientists, and other engineers.
Participating in the entire software development lifecycle, from requirements gathering and system design to deployment and maintenance.
Utilizing version control systems (Git) and potentially CI/CD pipelines for mobile and back-end deployments.
Are you game?
Top Skills
Razer Singapore Office
1 One-north Cres, Singapore, 138538
