SoC Machine Learning Design Engineer

Apple Inc.; Cupertino (CA); On-site; USD 210,000 - 320,000; Full time

Job summary

Apple is seeking a forward‑thinking engineer to join the SoC design machine learning team. You will craft ML solutions spanning RTL design to verification and power/performance/area optimizations, collaborating with internal teams and AIML at Apple to meet domain needs.

You will stay at the forefront of ML technologies, contribute to generative AI initiatives, and leverage your expertise in machine learning to improve productivity and outcomes across chip design workflows.

Qualifications

• BS degree plus 10 years of industry experience.
• Preferred experience in generative AI and modern ML methods.
• Experience with RTL Design, Verification, or Power/Performance/Area optimization.

Responsibilities

• Develop generative AI and ML solutions for RTL design, verification, and optimization.
• Collaborate with multi-functional teams and AIML groups to tailor ML solutions.
• Lead efforts to stay state-of-the-art in ML and chip design technologies.
• Design, implement, and evaluate AI systems across the SoC design flow.
• Mentor teammates; leadership experience is a plus.

Skills

Generative AI

Machine learning

Collaboration

Math & algorithms

Deep learning frameworks

Education

Bachelor's degree

Tools

PyTorch

TensorFlow

JAX

MLX

Verilog

SystemVerilog

VHDL

UVM

Job description

At Apple we believe our products begin with our people. By hiring a diverse team, we drive creative thought. By giving that team everything they need, we drive innovation. By hiring incredible engineers, we drive precision. And through our collaborative process, we build memorable experiences for our customers! These elements come together to make Apple an amazing environment for motivated people to do the greatest work of their lives. You will become part of a hands‑on development team that sets the standard in cultivating excellence, creativity and innovation. Come help us design the next generation of revolutionary Apple products. We are looking for a forward‑thinking and unusually talented engineer. As a member of our dynamic group, you will have the rare and rewarding opportunity to craft and implement methodologies and solutions with a high impact on upcoming products that will delight and inspire millions of Apple’s customers every single day. In this role, you will be directly involved in our SoC design machine learning efforts, collaborating right alongside our internal multi‑functional teams, and using your expertise in machine learning to improve productivity and optimizations across several SoC design related functions spanning from design to validation.

Description

• As a member of the SoC design machine learning team, you will be part of a dynamic team that is building the most efficient application processors on the planet, powering the next generation of Apple products.
• Your expertise in machine learning will be instrumental in optimizing for efficiency, quality and speed for our chip‑design process.
• You’ll play a crucial role in developing generative AI and machine learning solutions for optimizations in RTL Design, Verification, and Power/Performance/Area efforts.
• You will collaborate closely with our internal multi‑functional teams as well as the AIML organization at Apple to understand domain‑specific needs and tailor machine learning solutions to these domains.
• As part of this role, you will keep abreast of emerging technologies in machine learning and chip design to ensure our solutions remain state‑of‑the‑art.
• Prior leadership experience a plus.

Minimum Qualifications

• Minimum of BS + 10 years relevant industry experience.

Preferred Qualifications

• Practical experience and knowledge of generative AI and modern machine learning methods.
• Experience with any of the following: RAG systems including embedding models, retrieval strategies, and context optimization techniques. Generative AI pipeline development. AI evaluation and testing proficiency including designing test suites and implementing human evaluation frameworks. Experience with AI coding assistants. Experience with AI infrastructure protocols such as MCP.
• Experience with Deep neural networks and reinforcement learning is a plus
• Solid math background and understanding of algorithms and data structures
• Experience with current deep learning frameworks, such as PyTorch, TensorFlow, JAX or MLX
• Experience with hardware description languages like Verilog, SystemVerilog or VHDL.
• Experience with Chip design and verification front end flows is a plus: Working verification experience with UVM testbenches. Working experience with front‑end tools such as Static timing analysis and CDC/RDC.
• Strong communication and collaboration skills, with the ability to work efficiently in cross‑functional teams.
• Master's or PhD with relevant publications preferred but not required.

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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

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Apple accepts applications to this posting on an ongoing basis.