Senior RTL Engineer, CPU Power

Google•Mountain View, CA
•$163,000 - $236,000

About The Position

Be part of a team developing custom silicon solutions that power Google's direct-to-consumer products. The team combines Google AI, Software, and Hardware to create new technologies and hardware, with the aim of making computing faster, seamless, and more powerful. In this role, you will contribute to CPU architecture and system-level energy modeling, power analysis and optimization, and workload analysis to improve CPU energy efficiency and battery life. Individual pay is determined by job-related skills, experience, and relevant education or training. The US salary range is $163,000–$236,000, with a 15% bonus target, equity, and benefits.

Requirements

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
  • 8 years of experience in RTL design using Verilog or SystemVerilog.
  • Experience in SoC or CPU/GPU microarchitecture design.
  • Experience with low-power digital design methodologies.

Nice To Haves

  • 3 years of experience in RTL design and low-power design techniques.
  • Experience with power management, retention, and DVFS.
  • Experience with CPU benchmarking, performance analysis, and competitive study.
  • Experience with modern processor microarchitecture and related technologies and algorithms, through academic projects or industry experience.
  • Knowledge of programming languages such as C, C++, and Python.
  • Expertise in vendor tools such as PTPX, Ansys Power Artist, and Synopsys PrimePower.

Responsibilities

  • Own and drive activities related to CPU architecture and system-level energy modeling, competitive performance and power analysis, power optimization, simulation, and rollups.
  • Develop power analysis techniques, optimization engines, and tooling solutions to improve battery-life analysis and maximize CPU energy efficiency.
  • Perform data-mining analysis at RTL and gate level to define relevant microarchitectural transactions for high-level power estimation.
  • Collaborate with the SoC and CPU Power Team on CPU power analysis, projections, and requirements, including profiling power for typical workloads on high-traffic websites.
  • Perform workload analysis for battery life and define tests for power analysis and optimization.

Benefits

  • 15% bonus target
  • Equity
  • Benefits
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