Mixed-Signal IP Machine Learning Engineer

Apple - Boston, MA

Full-time - Mid Level

Boston, MA

Computer and Electronic Product Manufacturing

About the position

As a Mixed-Signal IP Machine Learning Engineer at Apple, you will be an integral part of the Silicon Technologies group, focusing on the design and manufacturing of next-generation, high-performance, power-efficient processors and system-on-chip (SoC) solutions. Your role will involve creating elegant solutions to complex challenges, ensuring that Apple products and services can efficiently handle the tasks that make them beloved by millions. You will be responsible for crafting and building the technology that fuels Apple's devices, working collaboratively with a dynamic team to develop methodologies and solutions that significantly impact upcoming products. Your expertise in machine learning will be crucial in optimizing Power, Performance, Area, and Robustness (PPAR) in mixed-signal IP development. You will engage closely with internal multi-functional teams, including firmware, system architecture, and validation teams, to achieve these goals. Staying current with the latest advancements in machine learning and related fields will be essential to continually improve our methodologies and ensure the highest quality in our products.

Responsibilities

• Develop machine learning models and systems to optimize the Power, Performance, Area, and Robustness (PPAR) of mixed-signal IPs.
• Explore and evaluate various machine learning algorithms to identify the most suitable approaches for specific problems.
• Collaborate closely with firmware, system architecture, and validation teams in a highly engaging and rewarding environment.
• Stay up-to-date with the latest advancements in machine learning and related fields to continually improve our methodologies.

Requirements

• Proven track record of successfully delivering machine learning projects or applications.
• Strong understanding of a wide range of machine learning algorithms, including logistic regression, deep neural networks, and reinforcement learning.
• Solid math background with knowledge of algorithms and data structures.
• Excellent programming skills in Python; familiarity with C is a plus.
• Understanding of VLSI fundamentals is a plus.
• Knowledge of signal processing is a plus.
• Strong communication and collaboration skills, with the ability to work efficiently in cross-functional teams.