SoC Power Analysis and Optimization Engineer

Anysilicon; Austin, Northern (TX, KY); Hybrid; USD 180,000 - 250,000; Full time

Job summary

Apple's Silicon Engineering group is seeking a seasoned SoC Power Analysis and Optimization Engineer to lead automation for power optimization across SOCs. You will collaborate with cross-functional teams to implement ML-driven analysis, build metrics, and drive continuous improvement in power efficiency across IPs.

The role requires strong background in machine learning, Verilog/SystemVerilog, and power-aware design, with at least a decade of relevant experience.

Qualifications

• Bachelor's degree in a relevant field required.
• 10+ years of industry experience.
• MSEE preferred.

Responsibilities

• Drive automation for SOC power optimization.
• Collaborate with SOC power team to automate power analysis and optimization tasks.
• Explore new methodologies to analyze power data and create optimization opportunities.
• Implement automated approaches to improve SOC power efficiency across IPs.
• Research and apply machine learning solutions for power simulation, optimization, and modeling.

Skills

Machine learning

Python scripting

ASIC power analysis

SOC design flow

Verilog

SystemVerilog

Computer architecture

Signal processing

Silicon power measurement

Power optimization

Education

Bachelor's degree in a relevant field

MSEE preferred

Job description

SoC Power Analysis and Optimization Engineer

Join Apple's Silicon Engineering group to transform innovative ideas into reality by focusing on SOC power optimization automation. This role involves collaborating with cross-functional teams to enhance SOC power efficiency through advanced methodologies and machine learning techniques.

Responsibilities:

• Drive automation for SOC power optimization.
• Collaborate with SOC power team members to automate power analysis and optimization tasks.
• Explore new methodologies to analyze power data and create metrics for optimization opportunities.
• Implement automated approaches to improve SOC power efficiency across various IPs.
• Research and apply machine learning solutions for power simulation, optimization, and modeling.
• Work with team members on training data preparation for machine learning applications.
• Deploy power optimization automation across cross-functional teams and review results for continuous improvement.

Qualifications:

• Minimum of a bachelor's degree in a relevant field.
• At least 10 years of relevant industry experience.
• MSEE preferred.

Skills:

• Familiarity with machine learning algorithms and programming.
• Proficient in scripting with Python.
• Knowledge of ASIC power analysis and optimization.
• Understanding of SOC design flow and methodology.
• Familiarity with Verilog and System Verilog.
• Knowledge of computer architecture, logic, and circuit design.
• Experience in signal processing is a plus.
• Experience in silicon power measurement is a plus.
• Experience in SOC power modeling, low power design, and power optimization is a plus.
• Strong communication skills to interface with various groups.

• ASIC Design Services
• Verification
• Packaging & Wafer
• Semiconductor IP

Find the Right Semiconductor Partner

• ASIC Design Services
• Verification
• Packaging & Wafer
• Semiconductor IP

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