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.