Agentic AI Hardware Engineer

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

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