AI/ML Engineer for Cutting-Edge ASIC & SoC Design

Apple Inc.; Santa Clara (CA); On-site; USD 150,000 - 225,000; Full time

Benefits offered by this job

Stock programs

Bonuses/relocation

Medical coverage

Tuition reimbursement

Job summary

Apple Inc. is seeking a Machine Learning Engineer to join our silicon design team in Santa Clara, CA.

You will apply AI/ML techniques to SOC design, build end-to-end solutions from concept to implementation, and help drive improvements in PPA, efficiency, and quality for state-of-the-art ASICs. In this role, you will collaborate across disciplines to bring groundbreaking ML insights into circuit design, verify performance, and enable rapid iterations while aligning with ROI metrics and project

Qualifications

• MS and a minimum of 3 years of VLSI industry experience.
• Strong knowledge of digital circuit behavior, PPA tradeoffs, timing, power and noise modeling.
• Experience applying AI/ML techniques to improve PPA and workflow efficiency.

Responsibilities

• Apply AI/ML techniques to circuit design analysis, characterization, QA and silicon debug.
• Explore areas in custom circuit design and identify initiatives to apply AI technologies.
• Define the goal and spec for each initiative and provide end-to-end solutions from ideas to implementation.
• Benchmark ROI with measurable metrics: improved designs, higher efficiency, better quality control, faster turnaround time.

Skills

VLSI industry experience

AI/ML for PPA

Digital circuit knowledge

Education

MS in Electrical Engineering or related

Job description

Apple Inc. is seeking a Machine Learning Engineer to join our silicon design team in Santa Clara, CA.

You will apply AI/ML techniques to SOC design, build end-to-end solutions from concept to implementation, and help drive improvements in PPA, efficiency, and quality for state-of-the-art ASICs. In this role, you will collaborate across disciplines to bring groundbreaking ML insights into circuit design, verify performance, and enable rapid iterations while aligning with ROI metrics and project