This role is for an engineer in the SoC design machine learning team at Apple, focusing on optimizing chip design processes through machine learning methodologies. The team is dedicated to building efficient application processors for the next generation of Apple products. The engineer will collaborate with multi-functional teams and contribute to the development of generative AI solutions. This position requires a strong background in machine learning and chip design to ensure state-of-the-art solutions.

• Minimum of BS degree with 10 years of relevant industry experience
• Practical experience and knowledge of generative AI and modern machine learning methods
• Experience with RAG systems including embedding models and retrieval strategies
• Experience with AI evaluation and testing proficiency including designing test suites
• Experience with current deep learning frameworks such as PyTorch, TensorFlow, JAX or MLX
• Experience with hardware description languages like Verilog, SystemVerilog or VHDL
• Strong communication and collaboration skills

• Collaborate closely with internal multi-functional teams to tailor machine learning solutions
• Develop generative AI and machine learning solutions for optimizations in RTL Design
• Keep abreast of emerging technologies in machine learning and chip design
• Optimize for efficiency, quality, and speed in the chip-design process
• Play a crucial role in improving productivity and optimizations across SoC design functions

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.