waypointjobs

Apple Inc.

SoC Machine Learning Design Engineer

cupertino, CA

Check who can apply and the requirements below before continuing.

About this opportunity

Apple Inc. lists this SoC Machine Learning Design Engineer opportunity in cupertino, California. Review the employer’s description below for duties, qualifications and application requirements.

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.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

#J-18808-Ljbffr

Worksite address

cupertino, CA, 95014, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.

Ready for your next step?Apply on the official website
Apply on WhatJobs ↗

Explore related searches

Current related jobs

Johns Hopkins Applied Physics Laboratory (APL)

WhatJobs

Space Systems Mechanical Engineer

laurel, MD

See pay details in description

Description Do you want to design and build unique space structures and spacecraft for NASA missions that enable groundbreaking scientific disco…

Listing review due 2026-10-06View job

Johns Hopkins Applied Physics Laboratory (APL)

WhatJobs

System Security Engineer

laurel, MD

See pay details in description

Description Are you looking for an opportunity to utilize your technical skills to solve complex, real-world problems? If so, we're looking …

Listing review due 2026-10-06View job

Johns Hopkins Applied Physics Laboratory (APL)

WhatJobs

Advanced Reentry Mission Engineer

laurel, MD

See pay details in description

Description Are you interested in hypersonic and reentry system design and prototyping? Do you want to make contributions to next generation …

Listing review due 2026-10-06View job

Johns Hopkins Applied Physics Laboratory (APL)

WhatJobs

Thermal and EO/IR Modeling and Simulation Engineer

laurel, MD

See pay details in description

Description Are you looking for a unique opportunity to impact significant advances to the nation's groundbreaking integrated air and missile de…

Listing review due 2026-10-06View job

Johns Hopkins Applied Physics Laboratory (APL)

WhatJobs

Network Effects Engineer

laurel, MD

See pay details in description

Description Do you want to perform advanced research, development, and test & evaluation of communications systems and network technologies that…

Listing review due 2026-10-06View job

Johns Hopkins Applied Physics Laboratory (APL)

WhatJobs

System Realization and Resilience Engineer

laurel, MD

See pay details in description

Description Are you passionate about applying system engineering principles to influence the development and resilience of future strategic weap…

Listing review due 2026-10-06View job