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SoC Machine Learning Design Engineer

Apple· Hardware
Apply on company site
Cupertino, California, United States, Austin, Texas, United States$150.4k - $277.6kFull-timePosted 2w ago

About the role

SoC design machine learning role at Apple, focusing on developing generative AI and ML solutions to optimize RTL design, verification, and power/performance/area for Apple’s application processors. Collaborative, cross-functional environment with emphasis on state-of-the-art ML methods applied to chip design and validation.

Responsibilities

  • Develop generative AI and machine learning solutions for optimizations in RTL Design, Verification, and Power/Performance/Area efforts.
  • Collaborate with internal multi-functional teams and the AIML organization to tailor machine learning solutions to domain needs.
  • Keep abreast of emerging technologies in machine learning and chip design to ensure state-of-the-art solutions.
  • Contribute to efficiency, quality, and speed improvements in the chip-design process.

Qualifications

  • Minimum of BS + 3 years relevant industry experience.
  • Practical experience and knowledge of generative AI and modern machine learning methods.
  • Experience with 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.

Skills

Required:Generative AIRAG systemsAI evaluation and testingMath & CS fundamentalsML frameworksHDL familiarityCommunication & collaboration
Nice to have:AI infrastructureDeep learningChip design & verification front-end

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Reimbursement for certain educational expenses
  • Discretionary bonuses or commission payments
  • Relocation assistance
  • Employee stock programs (RSUs)
  • Employee stock purchase plan
  • Eligibility-based bonuses or commissions (where applicable)
Last updated Oct 9, 2026. Interested? Apply on the company site.

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