Principal AI Flow Development Engineer

About Synopsys

At Synopsys, we spearhead innovations transforming everyday connectivity and life through cutting-edge technology central to pervasive intelligence, including self-driving vehicles and adaptive machines. We excel in chip design, verification, and IP integration, enabling high-performance silicon chip production and software content creation.

Role Overview

We seek a seasoned AI engineer skilled in GenAI, Retrieval-Augmented Generation (RAG), and agentic AI frameworks to craft scalable, production-grade solutions that optimize complex technical workflows and empower project teams.

Key Responsibilities

• Architect and develop multi-agent systems and autonomous AI workflows to automate semiconductor IP R&D processes.
• Create AI copilot solutions incorporating capabilities such as tool utilization, strategic planning, and memory management.
• Design prompt generation mechanisms and orchestration logic that handle intricate, multi-step tasks efficiently.
• Devise and optimize retrieval pipelines targeting semiconductor IP document sets like specifications, verification reports, and design documentation.
• Implement ETL pipelines for document processing: parsing, chunking, and semantic enrichment to enhance searchability.
• Improve retrieval outcomes leveraging evaluation metrics, re-ranking techniques, and hybrid search algorithms.
• Develop Model Context Protocol (MCP) servers and clients for secure context transmission across enterprise-grade tools.
• Create Agent-to-Agent (A2A) integration interfaces to tightly couple AI services with existing IP development workflows.
• Build APIs facilitating seamless communication between AI agents and Electronic Design Automation (EDA) tools.
• Establish evaluation frameworks covering retrieval accuracy, agent task success, and output quality assessment.
• Implement safeguards including hallucination detection, domain-specific output validation, and guardrails to ensure credibility.
• Construct observability infrastructure to monitor tracing, token usage, and latency metrics.
• Optimize performance and cost efficiency via caching, intelligent model routing, and token consumption management.
• Collaborate effectively with IP design and verification teams to understand domain challenges and translate them into AI-based solutions.
• Thoroughly document architecture designs, prompt methodologies, and integration templates to facilitate team scalability.

Impact

• Expedite IP development timelines through intelligent automation.
• Reduce manual workflow efforts by deploying smart AI copilots and agentic systems.
• Enhance data-driven insights supporting decision-making processes.
• Elevate accuracy and consistency across verification stages and documentation efforts.

Qualifications

• Minimum of 5 years software development experience emphasizing AI and machine learning.
• Demonstrated expertise in Generative AI, Retrieval-Augmented Generation, and agentic AI system design and deployment.
• Advanced proficiency in Python programming, including modular development, comprehensive testing, and documentation standards.
• Familiarity with semiconductor IP development domain knowledge.
• Hands-on experience with ETL pipeline construction, system observability, and cloud-based deployment models.
• Bachelor's degree in Engineering, Computer Science, or related discipline required.

Preferred Experience

• Knowledge of agentic AI frameworks like LangChain, LlamaIndex, CrewAI, or similar platforms.
• Understanding of MCP and Agent-to-Agent integration techniques.
• Experience integrating AI systems with Electronic Design Automation (EDA) tools.

Desired Attributes

• Creative problem-solving mindset tailored for AI-focused challenges.
• Strong collaboration skills across cross-functional teams and stakeholders.
• Capability to communicate complex technical concepts in accessible language for varied audiences.
• Self-driven, adaptable learner committed to continuous personal growth.

Team Environment

You will join a pioneering engineering team dedicated to developing GenAI innovations for Digital Interface Controller IP, working closely with multiple stakeholders to deliver impactful AI-driven applications.

Rewards and Benefits

We provide a robust package combining health, wellness, and financial benefits alongside competitive total rewards, encompassing both monetary and non-monetary elements. Details regarding compensation and benefits will be discussed during the recruitment process.