RTL Power Engineer — Energy-Efficient CPU Optimizer

KTek Resourcing LLC

Austin (TX)

On-site

USD 110,000 - 160,000

Full time

2 days ago
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Job summary

The CPU Power Team seeks an individual contributor engineer to own and drive CPU architecture, system-level energy modeling, competitive power analysis, and power optimization across workloads.

You will develop novel power analysis techniques and tooling to improve battery life and energy efficiency, collaborate with SoC and CPU teams on projections and requirements, and profile power for representative workloads such as YouTube, Facebook, and other media streams.

Qualifications

  • BS in Electrical Engineering, Computer Science, or equivalent practical experience.
  • 3 years of industry experience or equivalent research.
  • Experience with low-power fundamentals, data analytics, and profiling.
  • Experience in flow automation (Python, C, C++, Gemini).
  • Expertise with vendor tools such as PTPX, Ansys Power Artist, Synopsys Prime Power RTL.

Responsibilities

  • Own and drive CPU architecture, energy modeling, and power optimization across workloads.
  • Develop power analysis techniques, optimization engines, and tooling for battery life improvement.
  • Collaborate with SoC/CPU teams on power projections and requirements.
  • Profile power for typical workloads (e.g., YouTube, Facebook).
  • Perform data mining at RTL and gate-level for high-level power estimation.

Skills

Power analysis
RTL design
Low-power design techniques
Data analytics
Flow automation

Education

BS in Electrical Engineering, Computer Science, or equivalent

Tools

PTPX
Ansys Power Artist
Synopsys Prime Power RTL
Gemini
Python
C/C++

Job description

The CPU Power Team seeks an individual contributor engineer to own and drive CPU architecture, system-level energy modeling, competitive power analysis, and power optimization across workloads.

You will develop novel power analysis techniques and tooling to improve battery life and energy efficiency, collaborate with SoC and CPU teams on projections and requirements, and profile power for representative workloads such as YouTube, Facebook, and other media streams.

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