Mixed-Signal IP Machine Learning Engineer

Do you love creating elegant solutions to highly complex challenges? Do you intrinsically see the importance in every detail? As part of our Silicon Technologies group, you'll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You'll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions. Joining this group means you'll be responsible for crafting and building the technology that fuels Apple's devices. Together, you and your team will enable our customers to do all the things they love with their devices.

We are seeking a versatile and forward-thinking engineer to join our dynamic team. As a member of our group, you will play a crucial role in the development and implementation of methodologies and solutions with a significant impact on upcoming products, delighting and inspiring millions of Apple customers daily. Your expertise in machine learning will be instrumental in optimizing Power, Performance, Area, and Robustness (PPAR) in our mixed-signal IP development. You will collaborate closely with our internal multi-functional teams to achieve these goals.

Description

As a member of the mixed-signal design team, you will be part of a dynamic team that is building the most efficient silicons on the planet, powering the next generation of Apple products.

Your responsibilities will include:

• 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.

Preferred Qualifications

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.

Understanding of VLSI fundamentals is a plus.

Knowledge of signal processing is a plus.

Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.

Minimum Qualifications

Bachelors in Machine Learning, or Computer Science/Electrical Engineering with a focus on machine learning with 3+ years of relevant experience

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 .