CPU Architecture Specialist

1 week ago


Bengaluru, Karnataka, India Mulya Technologies Full time

We are seeking a skilled CPU Architecture Specialist to join our team at Mulya Technologies. This role will involve developing and refining microarchitectures, writing design specifications, and delivering and maintaining RTL for CPU cores and/or system-level sub-units.

The ideal candidate will have a strong background in computer architecture and 8+ years of industry experience working on RTL for high-performance CPU or GPU, memory subsystem, or related system-level designs.

Responsibilities:

  • Develop and refine microarchitectures, write design specifications, and deliver and maintain RTL for CPU Core and/or system-level sub-units
  • Work with physical design engineers to physically realize Core/subsystem RTL using deep sub-micron process technologies
  • Work with design verification/validation engineers to effectively test and debug Core/subsystem-level RTL in simulation, prototyping platforms, and silicon
  • Help model, analyze, debug, and address performance issues and opportunities

Qualifications:

  • 8+ years industry experience working on RTL for high-performance CPU or GPU, memory subsystem, or related system-level designs
  • Bachelors or Masters degree in related engineering field
  • Ability to work independently and across geographies
  • Strong domain knowledge of computer architecture

Skills Desired:

  • Verilog/SystemVerilog development experience
  • Industry experience with CPU microarchitecture (e.g. x86, ARM, SPARC, MIPS, RISC-V, POWER) and/or coherent caching systems
  • Experience with high frequency design considerations (timing, power, multiple clock domains, etc.)
  • Experience with typical front-end tools including: Verilog simulators, waveform viewers, and linting tools, as well as logic synthesis and place and route
  • Experience in compiled and/or interpreted (Python, perl) languages
  • Unit or feature ownership throughout the project lifecycle
  • Post-silicon validation
  • Bachelors or Masters degree in computer science or related engineering fields


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