Power Engineer: RTL, PPA & ML-Driven Optimizations

Apple Inc.

Cupertino (CA)

Hybrid

USD 161,000 - 225,000

Full time

7 days ago
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Benefits offered by this job

Medical + dental coverage
Stock programs and retirement benefits
Relocation assistance
Tuition reimbursement

Job summary

Apple Inc. in Cupertino, California, is seeking a power and hardware engineer focused on energy modeling, What-if analysis, and early power estimation for advanced silicon.

You will collaborate with micro-architecture teams to improve power efficiency without sacrificing performance, working on RTL power analysis and reduction and validating changes across the PPA space. You’ll develop heuristics and a data visualization platform to extract energy metrics from RTL/test benches, leveraging

Qualifications

  • Master’s degree in Electrical Engineering, Computer Engineering or related field.
  • Utilizing Python to automate power data collection and extracting power optimization insights
  • Utilizing HTML and OOP programing languages to create power data visualization platform
  • Utilizing mathematical methods to analyze power data to expose power inefficiencies
  • Utilizing logic analyzer tools to inspect design waveform and validate power reduction changes.
  • Utilizing machine learning methods to accelerate feature extraction from large datasets
  • Utilizing knowledge of computer architecture to optimize design in the space of performance, power and area
  • Utilizing VHDL or Verilog to realize microprocessor functionalities including, but not limited to datapath, instruction control, and cache hierarchies.
  • Utilizing FPGA and CAD tools to build silicon prototype of large digital systems

Responsibilities

  • Develop energy models for power targets, “What-if” analysis and early power estimation.
  • Collaborate with the micro-architecture teams on design implementations to obtain better power efficiency.
  • Work with designers on RTL power analysis and reduction.
  • Validate power reduction changes in a comprehensive power, performance and area (PPA) space.
  • Support various gate-level power rollup and analysis.
  • Develop heuristics to accelerate power analysis on larger power data set.
  • Develop power data visualization platform to extract power optimization insights.
  • Instrument RTL and test benches to extract key energy metrics and counts.

Skills

Python
HTML & OOP
Power analysis
Machine learning
Computer architecture
Data visualization

Education

Master’s degree in Electrical Engineering, Computer Engineering or related field

Tools

VHDL
Verilog
FPGA
CAD tools

Job description

Apple Inc. in Cupertino, California, is seeking a power and hardware engineer focused on energy modeling, What-if analysis, and early power estimation for advanced silicon.

You will collaborate with micro-architecture teams to improve power efficiency without sacrificing performance, working on RTL power analysis and reduction and validating changes across the PPA space. You’ll develop heuristics and a data visualization platform to extract energy metrics from RTL/test benches, leveraging

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