SoC Power Analysis and Optimization Engineer

Apple Inc.; Austin (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading technology company in Austin, Texas seeks a SoC Power Analysis and Optimization Engineer to drive automation for SOC power optimization, collaborate with cross-functional teams, and explore machine learning methodologies. The ideal candidate has a bachelor's degree, 10 years of relevant experience, and strong communication skills. Familiarity with ASIC power analysis and design flows is preferred. This role offers an opportunity to work on innovative projects that redefine customer experience.

Qualifications

• A minimum of 10 years of relevant industry experience is required.
• Strong communication skills are essential for interfacing with different groups.

Responsibilities

• Drive automation for SOC power optimization.
• Collaborate with SOC power team to improve power efficiency.
• Explore machine learning approaches for power simulation.

Skills

Machine learning algorithms

Scripting in Python

ASIC power analysis

SOC design flow

Verilog

System Verilog

Computer architecture

Logic design

Circuits design

Silicon power measurement

Education

Bachelor's degree in relevant field

MSEE preferred

Job description

SoC Power Analysis and Optimization Engineer

As part of our Silicon Engineering group, you will take imaginative and revolutionary ideas and determine how to turn them into reality! You and your team will apply engineering fundamentals and start from scratch if needed, bringing forward-thinking ideas to the real world. Join us, and you will help design products that bring to our customers experiences they’ve never before envisioned. In this highly visible role, you will be responsible for SOC power optimization automation, power modeling, and simulation.

Description

The main responsibility of this role is to drive the automation for SOC power optimization.- Working with SOC power team members to automate the power analysis and optimization tasks- Explore new methodology to analyze the power data, create power metrics to identify the optimization opportunities, drive automated approach to improve SOC power efficiency across IPs- Explore machine learning approaches to optimize SOC power, work with team members on training data preparation, research ML based solution for power simulation, optimization and modeling.- Collaborate cross-functional teams to deploy the power optimization automation to improve SOC power, review results, improve the methodology on efficiency, runtime, and support boarder scope of designs.

Minimum Qualifications

• A minimum of a bachelor's degree in relevant field and a minimum of 10 years of relevant industry experience.

Preferred Qualifications

• MSEE preferred
• Familiarity with machine learning algorithms and programming
• Familiarity with scripting in Python.
• Familiarity with ASIC power analysis and optimization
• Familiarity with SOC design flow and methodology
• Familiarity with Verilog and System Verilog.
• Familiarity computer architecture, logic and circuits design
• Familiarity signal processing is a plus
• Silicon power measurement experience is a plus
• SOC power modeling, low power design and power optimization experience is a plus
• Strong communication skills are a pre-requisite as the candidate will interface with a lot of different groups

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

Apple accepts applications to this posting on an ongoing basis.