Apple

Apple

Posted via Apple Careers

SoC Machine Learning Design Engineer

Always Hiring

Posted Aug 4, 2026

Role at a glance

Salary
$184.7K – $324.8K/yr
Location
Austin, Texas, United States Cupertino, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
Minimum of BS + 10 years relevant industry experience.
Education
Master's or PhD with relevant publications preferred but not required.

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Role Summary

AI-generated

This engineer will join Apple's SoC design machine learning team, developing generative AI and machine learning solutions for chip design and validation. The work supports optimization of efficiency, quality, and speed across RTL design, verification, and power, performance, and area efforts in collaboration with Apple's internal multifunctional teams and AIML organization.

What You'll Do

  • Develop generative AI and machine learning solutions for RTL design, verification, and power, performance, and area optimization.
  • Optimize efficiency, quality, and speed for the chip-design process.
  • Collaborate with internal multifunctional teams and the AIML organization to understand domain-specific needs.
  • Tailor machine learning solutions to SoC design-related functions.
  • Keep abreast of emerging technologies in machine learning and chip design to maintain state-of-the-art solutions.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Minimum of BS + 10 years relevant industry experience.

Required

  • Practical experience and knowledge of generative AI and modern machine learning methods
  • Experience with RAG systems, generative AI pipeline development, AI evaluation and testing, AI coding assistants, or AI infrastructure...
  • 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 such as Verilog, SystemVerilog or VHDL
  • Strong communication and collaboration skills, with the ability to work efficiently in cross-functional teams

Preferred

  • Experience with deep neural networks and reinforcement learning
  • Experience with chip design and verification front end flows
  • Working verification experience with UVM testbenches
  • Working experience with front-end tools such as static timing analysis and CDC/RDC
  • Master's or PhD with relevant publications
  • Prior leadership experience

Original job description

Content provided by the employer

Summary

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.

Pay & Benefits — Cupertino, California, United States

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Application Deadline

Apple accepts applications to this posting on an ongoing basis.

Apple

About the company

Apple

Large Enterprise

Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.