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SoC Machine Learning Design Engineer

Apple· Hardware
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Hybrid (Austin), Hybrid (Cupertino)Full-timePosted 2w ago

About the role

Role focused on applying machine learning to SoC design processes to optimize RTL Design, Verification, and Power/Performance/Area efforts. Collaboration with multi-functional teams and AIML organization to develop generative AI and ML solutions for chip design, staying current with ML and chip design advancements.

Responsibilities

  • Develop and implement methodologies and ML solutions to optimize SoC design-related functions from design to validation.
  • Collaborate with internal multi-functional teams and the AIML organization to tailor ML solutions to domain needs.
  • Develop generative AI and machine learning solutions for RTL Design, Verification, and Power/Performance/Area optimizations.
  • Stay abreast of emerging technologies in machine learning and chip design to keep solutions state-of-the-art.

Qualifications

  • Minimum of BS + 10 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 AI and modern ML methodsMath and algorithmsDL frameworksCommunication and collaboration
Nice to have:RAG systems and embedding modelsAI pipeline developmentAI evaluation and testingAI coding assistantsAI infrastructure protocols (MCP)Deep neural networks and reinforcement learningHDLsChip design/verification front-end flowsEducation
Last updated Oct 9, 2026. Interested? Apply on the company site.

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