Silicon Power Engineer

1 Month ago • 4-7 Years
System Design

Job Description

The Rivos Power team is seeking a highly motivated engineer to develop and strategically drive state-of-the-art power modeling and optimization across our CPU and SoC blocks. This role involves working in an innovative, collaborative, and high-growth environment, focusing on the full spectrum of silicon power reduction, including power analysis, performance benchmarking, and design optimization from microarchitecture to physical implementation.
Good To Have:
  • Familiarity with the RISC-V architecture
Must Have:
  • Model and analyze power consumption for various workloads on custom silicon.
  • Define overall power requirements with CPU Architecture, Performance, and Implementation teams.
  • Analyze power and performance trade-offs and recommend power reduction strategies.
  • Create targeted test vectors for accurate simulation.
  • Own end-to-end power simulation process (analysis, tuning, correlation, presentation).
  • Partner with CAD and Physical Design teams to enhance power estimation methodologies.
  • Bachelor's or Master's degree in EE/EECS.
  • 4-7 years of direct experience in power-aware design (analysis, benchmarking, modeling, simulation).
  • Strong working knowledge of CPU architectures and workload modeling for power analysis.
  • Proficiency with Verilog and SystemVerilog RTL coding.
  • Experience with complete silicon design flow and PPA trade-offs.
  • Hands-on experience with state-of-the-art EDA tools for power modeling and simulation.
  • Strong scripting skills in Python, TCL.
  • Ability to solve problems dynamically, innovate, drive decisions, and lead team efforts.

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The Rivos Power team is seeking a highly motivated engineer to develop and strategically drive state-of-the-art power modeling and optimization across our CPU and SoC blocks. In this role, you will have the opportunity to work in an innovative, collaborative, and high-growth environment. The ideal candidate will possess in-depth experience in the full spectrum of silicon power reduction. This includes a foundation in solid power analysis, performance benchmarking, and design optimization at all levels—from microarchitecture and physical implementation to standard power-performance benchmarking.

What You'll Do:

  • Model and analyze power consumption for various workloads on custom silicon, working closely with the CPU Architecture, Performance, and Implementation teams to define overall power requirements.
  • Analyze power and performance trade-offs, drive detailed cost-benefit analyses, and make recommendations for power reduction strategies.
  • Collaborate with the Performance, Design Verification, and RTL teams to create targeted test vectors that model appropriate workloads and functionality scenarios for accurate simulation.
  • Own the end-to-end power simulation process, including analysis, tuning, correlation, and presenting results to the Architecture, Logic Design, and Physical Design teams.
  • Partner with the CAD and Physical Design teams to enhance power estimation methodologies, simulation flows, and regression analysis.

What You'll Bring:

  • A Bachelor's or Master's degree in EE/EECS with 4-7 years of relevant industry experience.
  • 4 to 7 years of direct experience in power-aware design, including analysis, benchmarking, modeling, and simulation.
  • Strong working knowledge of CPU architectures and workload modeling for power analysis. Familiarity with the RISC-V architecture is a significant plus.
  • Proficiency with Verilog and SystemVerilog RTL coding.
  • Experience with the complete silicon design flow and evaluating power, performance, and area (PPA) trade-offs at the architectural, logic, and circuit levels.
  • Hands-on experience with state-of-the-art EDA tools for gate-level and transistor-level power modeling and simulation.
  • Strong scripting skills in Python, TCL, or other relevant languages.
  • A proven ability to solve problems dynamically, innovate, drive decisions, and lead team efforts to deliver results under aggressive schedules.

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