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Confirmed on the employer's own hiring board on Nov 12, 2026. First seen by Alion on Nov 12, 2026. Lenovo scores A on the Alion truth index.

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Lenovo Group Limited is a global technology enterprise specializing in personal computing, smart devices, data center infrastructure, and enterprise IT services. Headquartered in Beijing, China, and Morrisville, North Carolina, United States - with its registered office in Hong Kong - the publicly traded corporation operates across three primary business divisions: the Intelligent Devices Group (IDG), the Infrastructure Solutions Group (ISG), and the Solutions and Services Group (SSG). Through an extensive product and services portfolio encompassing ThinkPad and IdeaPad personal computers, Motorola smartphones, ThinkSystem enterprise servers, edge computing hardware, and hybrid cloud solutions, the enterprise provides hardware, software, and managed IT services to commercial clients, public institutions, and retail consumers across more than 180 markets worldwide.

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.

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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