Autonomous AI Engineer for Silicon Validation & EDA

Apple Inc.

Cupertino (CA)

On-site

USD 170,000 - 250,000

Full time

14 days+
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Job summary

Apple Inc. in Austin, TX is seeking an Applied AI Engineer (EDA) to bridge AI and electronics design automation, building autonomous agents that triage errors and tune simulation parameters.

You will develop AI-driven workflows, apply EDA tools, and contribute to silicon verification automation while collaborating with silicon engineering teams. Occasional travel to the US is expected.

Qualifications

  • Bachelor’s degree in Computer Science, Electrical Engineering, Machine Learning, or related field.
  • Experience in Applied AI or EDA/Silicon with ML/automation.
  • Experience with scripting and software engineering (Python, C/C++).

Responsibilities

  • Design and deploy autonomous AI agents to review design changes, resolve conflicts, and triage elaboration and simulation errors.
  • Develop AI-driven workflows to flag simulation performance and design concerns, automatically tune design parameters, and explore optimization candidates autonomously.
  • Apply internal and external EDA tools (e.g., LEC, wave dumps, design libraries) to diagnose issues and explore design alternatives.
  • Build and maintain AI harnesses, scripts, and infrastructure to support continuous research and experimentation.
  • Conduct data-driven experimentation to optimize prompts and harnesses; measure token efficiency and task completion.
  • Track and evaluate emerging ML/LLM use cases for silicon design workflows.
  • Occasionally travel to collaborate with development groups in the US.

Skills

Python
C/C++
Scripting
ML/AI
LLM workflows

Education

Bachelor’s degree in CS/EE/ML or related
Master’s degree in CS/EE/AI/Hardware

Tools

Verilog/SystemVerilog
LEC (Logic Equivalence Checking)

Job description

Apple Inc. in Austin, TX is seeking an Applied AI Engineer (EDA) to bridge AI and electronics design automation, building autonomous agents that triage errors and tune simulation parameters.

You will develop AI-driven workflows, apply EDA tools, and contribute to silicon verification automation while collaborating with silicon engineering teams. Occasional travel to the US is expected.

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