- Singapore
工作地点
职位描述
岗位职责
Location: Singapore
Description:
- Apply advanced AI techniques to accelerate the design of faster, smaller, and more power-efficient chips.
Key Responsibilities:
- Harness Large Language Models (LLMs) to automatically generate, refine, and debug RTL code in Verilog/SystemVerilog.
- Apply Graph Neural Networks (GNNs) to analyze chip netlists and predict wiring, spacing, and other physical design issues early in the flow.
- Develop autonomous AI agents capable of driving EDA tools, interpreting results, diagnosing failures, and applying fixes with minimal human intervention.
- Translate cutting-edge academic research in AI for EDA into robust, production-ready software tools used by silicon engineering teams.
Requirements:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related field
- Research (thesis or publications) related to Graph Machine Learning, Verilog/SystemVerilog optimization, or NLP techniques applied to code/hardware description languages.
- Knowledge in traditional VLSI design flows, including synthesis, static timing analysis, and physical design with be a plus
- Strong proficiency with PyTorch, PyTorch Geometric (PyG), and modern LLM frameworks.
- Programming skills in Python.
Personal Data Protection Notice:
By submitting your application, you acknowledge that the personal data provided may be collected, used and disclosed by Realtek Singapore for recruitment and employment-related purposes, including the assessment of your application and other suitable employment opportunities within Realtek. Your personal data may also be shared with relevant Realtek group companies and authorised personnel outside Singapore where necessary for recruitment purposes, subject to appropriate data protection safeguards and applicable laws.
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