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Senior VLSI CAD and AI Automation Engineer
Not specifiedFull-timeAI EngineeringSemiconductor Manufacturing
Develop and deploy AI-driven CAD solutions and automation flows for VLSI design, verification, and physical implementation in a semiconductor engineering environment.
Responsibilities
- Develop and integrate AI-powered CAD solutions for VLSI design, verification, and implementation
- Identify opportunities to improve VLSI workflows with design, verification, and CAD teams
- Research, prototype, and deploy AI-based algorithms
- Build and maintain automation infrastructure and scripts for AI-enabled CAD flows
- Evaluate emerging AI technologies and methods for the CAD environment
- Assess AI solutions against design quality, performance, and productivity goals
- Provide technical support and training on AI-enabled CAD workflows
Requirements
- Bachelor’s or master’s degree in electrical engineering, computer engineering, computer science, or equivalent experience
- At least 5 years of VLSI CAD tool development experience with AI/ML integration into EDA workflows
- Proficiency in Python and at least one AI/ML framework, such as TensorFlow, PyTorch, or scikit-learn
- Hands-on experience with VLSI physical design and industry-standard EDA tools such as Synopsys or Cadence
- Knowledge of data preprocessing, feature engineering, and model deployment
- Experience with Python, Perl, Tcl, and Make automation scripts
- Strong analytical, communication, and cross-functional collaboration skills
Nice to have
- Production deployment of AI/ML models in VLSI CAD environments
- Open-source AI/EDA contributions or relevant publications
- Expertise in timing closure, power optimization, or yield enhancement
- Experience with cloud or distributed computing for large-scale AI workloads