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Description and Requirements
Experiences Team - Job Description
Job Description Summary
Motorola software development philosophy is based on few key foundations:
- Building on a foundation of pure Android
- Software experiences that complement Android, not compete with it
- Ensuring software brings value to the consumer
- Constantly improve software experiences on the released phones by faster android upgrades and Motorola apps updates
At Motorola’s Bangalore Software R&D Innovation Center, we use our talent and passion to help the company build world-class experiences and products for our users on the foundation of Android, the world’s best mobile operating system.
Working at Motorola’s Bangalore Software R&D Innovation Center is an opportunity to be at the cutting edge of mobile software development.
Being a part of Motorola Innovations and Experiences team in India, as a software development engineer, you'll play a pivotal role in crafting unique and value-driven software experiences across a range of Motorola devices, including smartphones, wearables (TWS earbuds/Watch/Glasses), and internet services.
You will have an opportunity to develop signature experiences and internet services harnessing cutting-edge LLM (Large Language Models) AI-based technologies. Additionally, there will be an opportunity to build next-gen experiences in the technology areas of AR/VR/UWB/Fintech leveraging AI/ML
Job Description
Responsibilities:
The successful candidate will be a highly motivated self-starter with experience in realizing the requirements for products. Strong desire for innovation, inter-group coordination and teamwork skills are must.
Job responsibilities include, but are not limited to the following:
Android Application development: Job responsibilities also include Android application/native software development across different subsystems of mobile device, requirements definition & planning, design, test, debug and competitive analysis.
On-Device AI (Artificial Intelligence) Integration: Implement on-device AI frameworks and libraries to enable real-time AI processing, ensuring efficient utilization of device resources.
Off-Device AI Infrastructure: Architect and maintain scalable infrastructure for off-device AI processing, leveraging cloud services and distributed computing techniques.
Performance Optimization: Optimize AI algorithms and workflows to achieve optimal performance on mobile devices while balancing computational resources and battery life.
Collaboration: Collaborate with product managers, designers, and other engineers to ideate and implement AI-powered features that enhance user experiences.
Research and Innovation: Stay updated with the latest advancements in AI technologies and contribute to research initiatives aimed at driving innovation in mobile AI solutions.
Candidate is responsible for requirements analysis, technical feasibility evaluation, development, delivery of the features and support till end of product life. Candidates must ensure seamless integration of software updates, enabling faster Android upgrades and timely Motorola apps updates. Candidate is responsible for creating new experiences on smart phones, which help consumers worldwide enrich their digital lives. These are in the space of cool innovative software-hardware pairings.
Requirements:
Essential:
BE / MS / MTech with CGP 3.2+/4 in the field of Computer Science/Engineering or related field
Experience of 5+ years in Android software development.
Experience with development of Android applications and enhancement of Android framework components, to enhance user experience.
Strong Coding knowledge with Java, Kotlin, Android Studio.
Well versed with Object-oriented Analysis & Design, Design Patterns, Data Structures and Algorithms.
Strong problem analysis and debugging skills with passion for innovation and a drive to create impactful software solutions.
Key Performance Indicator (KPI) definition, analysis and improvement.
Proven track record in delivering consumer-focused software experiences.
Excellent problem-solving skills and the ability to thrive in a dynamic, collaborative environment.
Uses AI tools usage as a core part of their engineering lifecycle to achieve 3x–5x leverage.
Hands-on experience using advanced AI coding tools like Gemini in Android Studio, or CLI-based LLM agents, Cursor, Github Copilot.
Mastery of prompt engineering to generate clean, idiomatic Kotlin code with efficient design patterns. Ability to efficiently manage LLM context (managing files, referencing symbols, using system instructions).
Expert at using AI to generate comprehensive Unit tests (Junit, MockK, JaCoCo) and using LLMs to rapidly diagnose complex stack traces or memory leaks.
Strong awareness of the risks of AI-generated code, including:
* Identifying and fixing "hallucinated" APIs or deprecated methods.
* Ensuring AI-generated code strictly adheres to security standards (avoiding hardcoded secrets, protecting PII).
* Understanding licensing implications of generated code snippets.
Desirable:
Experience in publishing Android Apps to the Google Play Store
Working experience with Git/Jira
Knowledge of web services, REST APIs (application programming interfaces)
Knowledge of interfacing with Google Cloud Services / Amazon Web services.
Knowledge of Windows based application development
Strong sense of System Architecture as it relates to mobile apps
Familiarity with AI/ML technologies and their application in software development.