SoC Machine Learning Design Engineer

Apple Inc

Confirmed live today Low trust

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Work type
On-site
Location
Austin, TX
Posted
124 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

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Similar $211k
$150k $282k
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This listing doesn't post a salary. Most similar roles pay $179,231–$242,062.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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TL;DR · SoC Machine Learning Design Engineer

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The SoC Machine Learning Design Engineer joins a dynamic team focused on building efficient application processors for next-generation products. In this role, you will develop generative AI and machine learning solutions to optimize RTL design, verification, and power, performance, and area efforts. You will collaborate with multi-functional teams and the AIML organization to tailor solutions for specific chip-design domains. Required skills include practical knowledge of generative AI, modern machine learning methods, and deep neural networks. You should be proficient with frameworks like PyTorch, TensorFlow, JAX, or MLX, and possess a solid math background in algorithms and data structures. Experience with RAG systems, hardware description languages like Verilog or SystemVerilog, and front-end tools for static timing analysis or UVM testbenches is also highly valued.

Skills

Machine Learning Generative AI PyTorch TensorFlow JAX MLX RAG Deep Neural Networks Reinforcement Learning Verilog SystemVerilog VHDL UVM Static Timing Analysis CDC RDC Algorithms Data Structures

What you'll do

  • Develop generative AI and machine learning solutions to optimize RTL Design, Verification, and Power/Performance/Area efforts.
  • Implement machine learning methodologies to improve productivity and optimizations across SoC design functions.
  • Optimize chip-design processes for improved efficiency, quality, and speed.
  • Tailor machine learning solutions to meet domain-specific needs of internal multi-functional teams.
  • Stay current on emerging technologies in machine learning and chip design to maintain state-of-the-art solutions.
  • Design and implement AI evaluation test suites and human evaluation frameworks.
  • Develop generative AI pipelines including RAG systems, embedding models, and retrieval strategies.

What we're looking for

  • Minimum of a BS degree and 10 years of relevant industry experience.
  • Practical experience and knowledge of generative AI and modern machine learning methods (preferred).
  • Experience with RAG systems, generative AI pipeline development, AI evaluation, AI coding assistants, or MCP protocols (preferred).
  • Experience with Deep neural networks and reinforcement learning (preferred).
  • Solid math background and understanding of algorithms and data structures.
  • Experience with 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, including UVM, STA, and CDC/RDC (preferred).

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