SoC Power Analysis and Optimization Engineer

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $126,800–$190,900 / yr
Posted: 61 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $192k

This role $159k

$115k most similar roles pay here $238k

This role pays less than 80% of similar roles. Most pay $165,400–$217,687 — the shaded band above. At the midpoint, this role pays about $159k versus about $192k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · SoC Power Analysis and Optimization Engineer

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As a senior member of the SOC power team, you will lead the automation efforts for power optimization and modeling within large-scale semiconductor designs. Your daily tasks include collaborating with cross-functional teams to develop new methodologies for analyzing power data and creating metrics that identify areas for improvement. You will also explore machine learning techniques to enhance power simulation and optimization, preparing training datasets and researching ML-based solutions. Additionally, you will work on deploying these automation tools across various IPs and designs, ensuring continuous improvements in efficiency and runtime. This role requires expertise in semiconductor design, proficiency with scripting languages like Python, and a strong understanding of machine learning frameworks such as TensorFlow or PyTorch.

Skills

Python Machine Learning Power Modeling Simulation Automation CI/CD Data Analysis SQL Git Jenkins Docker Kubernetes AWS PostgreSQL Prometheus Grafana

What you'll do

Automate SOC power analysis and optimization tasks.
Develop new methodologies to analyze power data and identify optimization opportunities.
Implement machine learning solutions for power simulation, optimization, and modeling.
Prepare training data and research ML-based approaches for improving SOC power efficiency.
Deploy automation tools to enhance SOC power across various IPs and designs.
Review results and refine methodologies to improve efficiency and runtime.

What we're looking for

Bachelor’s degree in a relevant technical field required.
Experience with SOC power analysis and optimization automation.
Proficiency in exploring new methodologies for power data analysis.
Knowledge of machine learning techniques for power simulation and optimization.
Ability to collaborate across cross-functional teams for deployment and improvement.