Apple-posted 3 months ago
Cupertino, CA
5,001-10,000 employees

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.

  • Be part of a dynamic team that is building the most efficient application processors on the planet.
  • Optimize for efficiency, quality and speed for the chip-design process using machine learning.
  • Develop generative AI and machine learning solutions for optimizations in RTL Design, Verification, and Power/Performance/Area efforts.
  • Collaborate closely with internal multi-functional teams and the AIML organization at Apple.
  • Understand domain-specific needs and tailor machine learning solutions to these domains.
  • Keep abreast of emerging technologies in machine learning and chip design.
  • 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.
  • 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.
  • 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.
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