Principal Application Engineer – AI for EDA

About the RoleWe are seeking a technically rigorous Principal Application Engineer to drive the adoption of our AI-driven EDA solutions. This role requires deep expertise in both AI algorithms and semiconductor design workflows. You will serve as the technical authority, bridging the gap between cutting-edge research and real-world engineering challenges in chip design.Key Responsibilities1. System Demonstration: Conduct technical demonstrations of our AI platform, detailing the underlying technical architecture, algorithmic innovations, and computational efficiency to prospective clients.2. Technical Requirements Analysis: Engage in deep technical discussions with chip design houses, IDMs, and Fabless companies to diagnose design bottlenecks and translate complex engineering requirements into technical specifications for R&D.3. Expert Technical Support: Resolve advanced technical inquiries regarding Agent frameworks (e.g., LangChain, AutoGen), inference engines, tool integration APIs, data security protocols, and system performance metrics.4. Technical Evangelism: Represent the company at industry conferences, technical seminars, and customer roadshows to establish thought leadership in AI for EDA and IC design automation.5. Product Innovation: Collaborate with internal R&D teams to refine product roadmaps, validate new features, and ensure the technical robustness and industry relevance of our solutions.Qualifications1. AI/ML Proficiency: Solid understanding of LLMs, Agentic AI, RAG, Reinforcement Learning, and AI-based code generation techniques.2. Hands-on Agent Experience: Practical experience with Agent development frameworks (LangChain, LlamaIndex, AutoGen, CrewAI). Proven experience in deploying end-to-end Agent systems is highly preferred.3. EDA/IC Domain Knowledge: Familiarity with the IC design flow (RTL, Synthesis, Place-and-Route, Verification). Experience with commercial EDA tools is a strong plus.4. Technical Communication: Exceptional ability to articulate complex algorithmic concepts and system architectures to both technical experts and executive stakeholders.5. Customer-Centric Engineering: Strong diagnostic skills to identify root causes of customer issues and propose effective technical solutions.6. Research Orientation: Active interest in tracking state-of-the-art advancements in AI for Science and Engineering.7. Education: Master’s degree or PhD in Computer Science, Electrical Engineering, AI, or related fields.Locations1. Shanghai2. WuhanCompensationSalary will be commensurate with experience and finalized in accordance with the company's compensation structure and grading system.This role requires fluency in Mandarin Chinese for daily collaboration with our R&D teams.