Mobile Systems Architect

2 weeks ago


San Jose, California, United States Cephas Consultancy Services Private Limited Full time
Position Overview:

Cephas Consultancy Services Private Limited is seeking a skilled professional to contribute to our Mobile Systems Architecture Group. This role is pivotal in advancing the efficiency and capability of memory components within Mobile System-on-Chips (SoCs), ensuring our offerings remain superior in the market.

  • Collaborate with an innovative team focused on state-of-the-art Memory and storage technologies to sustain a competitive advantage and identify opportunities for improvement.

Elevate your skills by participating in the development of groundbreaking architectures and products that leverage our latest Memory/Storage technologies tailored for Mobile Clients.

Key Responsibilities:
  • Understand the architecture of Mobile SoCs in various Multimedia and Connectivity applications.
  • Examine Open-Source AI Models and their memory access patterns.
  • Assess Memory/Storage architecture on mobile platforms and formulate enhancement strategies.
  • Lead innovative solutions for complex interdisciplinary challenges through effective teamwork.
  • Identify emerging mobile workloads that will impact memory/storage usage in future products.
Qualifications:
  • Bachelor's or Master's degree in Electronics, Computer Engineering, Computer Science, or a related discipline.
  • 4-6 years of experience within the Mobile ecosystem.
  • Expertise in AI Models and their applications on mobile devices.
  • Experience with device drivers.
  • Practical knowledge in Power and Performance Analysis.
  • Comprehensive understanding of Mobile SOC systems and the Android environment.
  • Proficiency in system Benchmarking and multimedia applications.
  • Familiarity with the Storage subsystem and hands-on experience with host-side drivers.
Preferred Qualifications:
  • Strong knowledge of Mobile Platform Software and Hardware.
  • Solid understanding of DRAM, NAND, and other memory/storage technologies.
  • Extensive knowledge of architecture in AI, multimedia, and connectivity contexts.
  • Proficiency in C++, Python, or other system programming languages.


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