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Google Silicon Architect GPU Performance 
India, Karnataka, Bengaluru 
739178502

01.09.2024
Minimum qualifications:
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience.
  • 3 years of experience with GPU microarchitecture memory sub-system and scheduling mechanisms.
  • Experience with programming languages such as C, C++, or Python.

Preferred qualifications:
  • Master’s degree in Electrical Engineering, Computer Engineering, or Computer Science, emphasizing on computer architecture.
  • Understanding of system-level interactions between the GPU, CPU, memory and other components, including knowledge of interconnect.
  • Deep understanding of processor design principles, pipeline optimization, memory hierarchies, Instruction Set Architectures (ISA), and microarchitecture concepts.
  • Familiarity with operating system concepts like memory management, scheduling and device drivers, especially for GPU drivers.
  • Familiarity with tools to generate thread level parallelism reports.
  • Proficiency in profiling tools and techniques to identify bottlenecks and optimize GPU performance.