AI-Driven SoC Design Engineer

Apple, Inc.; Austin (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Apple in Austin, TX is seeking a forward-thinking engineer to join the SoC design machine learning team. You will craft and implement ML methods to improve RTL design, verification, and power/performance/area optimizations.

You will collaborate across cross-functional teams and with AIML to tailor solutions, stay current with ML and chip design advances, and contribute to state-of-the-art methodologies. Prior leadership is a plus; Masters/PhD preferred but not required.

Qualifications

• Minimum a BS degree with 3+ years of relevant industry experience.
• Demonstrated experience with generative AI and modern ML methods.
• Experience with RAG systems, embedding models, retrieval strategies, and context optimization techniques.
• Proficiency with AI tooling and evaluation, including designing test suites and human evaluation workflows.
• Experience with AI frameworks such as PyTorch, TensorFlow, JAX or MLX.
• Familiarity with hardware description languages (Verilog, SystemVerilog, VHDL) and chip design/verification front-end flows (e.g., UVM, static timing analysis).
• Strong collaboration and communication skills in cross-functional teams.

Responsibilities

• Develop ML solutions for RTL design, verification, and power/performance/area optimizations.
• Collaborate with internal teams and AIML to tailor ML solutions to chip design domains.
• Stay current with ML and chip design advances to keep solutions state-of-the-art.
• Lead or contribute to generative AI initiatives within the SoC design ML team.

Skills

Generative AI

Machine learning

RAG systems

Embedding models

Context optimization

AI evaluation

AI tooling

Deep neural networks

Reinforcement learning

PyTorch

TensorFlow

JAX

MLX

Verilog

SystemVerilog

VHDL

UVM

Static timing analysis

CDC/RDC

Education

Bachelor's degree in related field

Tools

PyTorch

TensorFlow

JAX

MLX

Verilog

SystemVerilog

VHDL

UVM

Job description

Apple in Austin, TX is seeking a forward-thinking engineer to join the SoC design machine learning team. You will craft and implement ML methods to improve RTL design, verification, and power/performance/area optimizations.

You will collaborate across cross-functional teams and with AIML to tailor solutions, stay current with ML and chip design advances, and contribute to state-of-the-art methodologies. Prior leadership is a plus; Masters/PhD preferred but not required.