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Motorola Mobility (a Lenovo Company) Logo

Staff Engineer

Actively Reviewing the Applications

Motorola Mobility (a Lenovo Company)

India, Karnataka, Bengaluru Full-Time On-site
Posted 15 hours ago Apply by June 4, 2026

Job Description

The successful candidate will be a highly motivated self starter with experience in realizing the requirements into products. You will be responsible for requirements analysis, technical feasibility evaluation, development, delivery of the features and support till end of product life. Candidates have to ensure seamless integration of software updates, enabling faster Android upgrades and timely Motorola apps updates. Candidate is responsible for creating innovations on Motorola products, which help consumers worldwide enrich their digital lives. These are in the space of cool innovative software-hardware pairings.

Experience: 6 to 12 years

Current location: Bangalore (looking for candidates who are currently from Bangalore)

Job Location: Bangalore

Work Mode: work from office

Mandatory Skill:

  • Android Application and Framework development
  • Kotlin, Jetpack compose
  • Data structures, Algorithms, Time Space Complexity, Problem Solving

Preferred Skills:

  • Kotlin Multiplatform

AI Note - Preferred Skill:

  • AI/ML knowledge is NOT mandatory
  • Role focuses on the experience layer and core systems, not model building
  • Knowledge of AI orchestration or RAG is a plus, but optional

Primary Responsibilities:

  • Android Application and Framework 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 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.

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