SoC Machine Learning Design Engineer

Apple is seeking a forward-thinking and talented SoC Machine Learning Design Engineer to join their Hardware team in Cupertino. This role represents a unique opportunity to work at the intersection of machine learning and hardware design, developing innovative solutions that will impact millions of Apple customers worldwide.

As a member of the SoC design machine learning team, you'll be instrumental in building the most efficient application processors for next-generation Apple products. The role involves applying machine learning expertise to optimize chip-design processes for efficiency, quality, and speed. You'll work on developing generative AI and machine learning solutions for RTL Design, Verification, and Power/Performance/Area optimizations.

The position offers the chance to collaborate with cross-functional teams and Apple's AIML organization, ensuring that machine learning solutions are tailored to specific domain needs. You'll be at the forefront of emerging technologies in both machine learning and chip design, helping maintain Apple's position as an industry leader in hardware innovation.

The ideal candidate should have a strong foundation in machine learning, particularly in areas like deep neural networks and reinforcement learning, combined with practical experience in hardware description languages. While a Master's or PhD is preferred, the role is open to candidates with a Bachelor's degree and relevant experience.

This role offers competitive compensation ranging from $121,900 to $183,600, along with comprehensive benefits including medical coverage, stock options, and education reimbursement. You'll be part of Apple's dynamic environment where motivated people do their best work, contributing to revolutionary products that delight millions of customers.

Working at Apple's Cupertino headquarters, you'll be immersed in a culture that values innovation, creativity, and technical excellence. This is an exceptional opportunity for someone passionate about both machine learning and hardware design to make a significant impact on future Apple products.