Machine Learning Engineer for Digital Circuits Team

Santa Clara Valley (Cupertino), California, United States


Role Number:200172050
As part of our Digital Design Engineering group, you’ll 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. Your efforts will be groundbreaking. You’ll help design the tools that allow us to bring customers experiences they’ve never before envisioned. You will join an exciting silicon design group that is responsible for designing state-of-the-art ASICs. We have an extraordinary opportunity for Machine Learning Engineers!

Key Qualifications

  • We are looking for talents in the areas of circuit design, analysis, modeling and QA, but also equipped with AI/Machine-learning expertise:
  • 2+ years circuit design experience, with good knowledge of circuit design and analysis in deep-submicron process.
  • Familiarity with foundry design kits and its impact on circuit behavior.
  • Deep understanding of main machine-learning platforms such as TensorFlow, PyTorch, and popular machine-learning algorithms like Regression, Regularization, Neural Networks, K-means clustering, etc.
  • Proficient in algorithm programming and data analysis.


Imagine yourself at the center of our SOC design effort, collaborating with all fields, getting functional products to millions of customers quickly. You will have the opportunity to integrate and come-up with new insights, as well as work with a team of hardworking engineers. In this critical and high-visible role, there are tremendous opportunities to extend the power of machine-learning technology into circuit domain and bring groundbreaking innovations to the best silicon design team in the world. You will perform the following: - Play a strategic role of applying AI/machine-learning techniques to your (and colleagues’) daily work, including 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. - Provide end-to-end solutions, from ideas to implementation. - Benchmark the return on investment (ROI) with measurable metrics: improved designs, higher efficiency, better quality control, faster turnaround time, etc.

Education & Experience

MSEE required. PhD is preferred.

Additional Requirements

  • Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.