Cadence is looking to solve challenges in the world of technology by hiring and developing leaders and innovators. Specifically, this role aims to create practical AI solutions that directly enhance semiconductor design productivity and translate business requirements into working AI applications.
Requirements
- LangGraph for multi-agent workflow orchestration
- Agent-to-Agent (A2A) communication frameworks
- LangChain, LlamaIndex, or similar LLM orchestration tools
- PyTorch, TensorFlow, Hugging Face Transformers
- Strong OOP principles and design patterns in Python
- Experience with Python packaging, testing frameworks (pytest, unittest)
- Proficiency in async programming and concurrent systems
Responsibilities
- Build and deploy production-ready agentic AI applications using LangGraph and A2A
- Develop and integrate AI assistant systems for real-world design automation workflows
- Implement and maintain MCP servers for seamless tool integration in production environments
- Create practical AI solutions that directly enhance semiconductor design productivity
- Deploy robust Python-based AI applications with focus on scalability and performance
- Translate business requirements into working AI applications and user interfaces
- Collaborate with design teams to implement AI solutions that solve immediate business challenges
Other
- Education: Bachelor's or Master's degree in Electrical Engineering, Computer Science, or related field
- Support and maintain deployed AI applications, ensuring reliability and user satisfaction
- We’re doing work that matters.
- Help us solve what others can’t.
