Jobs · Engineering · California

Principal Architect of GAI-Oriented Mobile System

Jobright.ai · San Jose, CA · Yesterday
HybridEngineering$180k–$260k/yrFull-time

Hiring Company

MediaTek

One-liner

MediaTek is one of the world’s leading fabless semiconductor companies, building industry-leading SoCs that power smartphones, smart devices, automotive, and the next generation of edge AI computing.

Role Responsibilities

  • Perform in-depth technical analyses and trend studies on mobile system enabled by AI technology with cloud and/or local models
  • Evaluate current mobile system on its performance, power, and user experience in supporting new user experiences with AI
  • Lead and propose strategic innovations in mobile system architecture through software-hardware codesign for best AI experiences
  • Work closely with engineering leaders and product managers to transform market demands into product roadmaps and technical solutions
  • Stay at the forefront of Generative AI and mobile technology trends, and drive the adoption of best practices in software architecture and AI/ML integration
  • Mentor and guide cross-functional engineering teams in best practices for device system design and implementation
  • Support business development and customer-facing teams with technical expertise and solution proposals

Qualifications

  • Strong experience in strategic planning and technology innovation for mobile system
  • Deep understanding of use cases and user experiences in AI-powered consumer devices
  • Proven experience in architecting device AI system with a successful track record
  • Strong experience in leading cross-geo teams in multicultural and multinational environments
  • Strong soft skills in technology acumen, system abstraction, and technical communication
  • 10+ years experiences in system software, Android stack, software-hardware codesign, hardware acceleration
  • 5+ years experiences in AI/ML-based mobile products and system development
  • Bilingual with English and Mandarin

Preferred

  • MS or PhD in Computer Science, Electrical Engineering, or related majors preferred

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