Cadence is hiring: Agentic AI Hardware Engineer in Cary

Overview Agentic AI Hardware Engineer at Cadence 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 Required Qualifications Education: Bachelor\'s or Master\'s degree in Electrical Engineering, Computer Science, or related field Core Frameworks LangGraph for multi-agent workflow orchestration Agent-to-Agent (A2A) communication frameworks LangChain, LlamaIndex, or similar LLM orchestration tools PyTorch, TensorFlow, Hugging Face Transformers Software Engineering Strong OOP principles and design patterns in Python Experience with Python packaging, testing frameworks (pytest, unittest) Proficiency in async programming and concurrent systems RESTful API development and microservices architecture MCP Development Experience building MCP servers for AI tool integration Understanding of protocol specifications and implementation patterns Knowledge of context management and state handling 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 Support and maintain deployed AI applications, ensuring reliability and user satisfaction We’re doing work that matters. Help us solve what others can’t. Seniority level Entry level Employment type Full-time Job function Engineering and Information Technology Industries Software Development #J-18808-Ljbffr