AIEngineeringLead

Normal Computing | Incredible Opportunities The Normal Team builds foundational software and hardware that help move technology forward - supporting the semiconductor industry, critical AI infrastructure, and the broader systems that power our world. We work as one team across New York, San Francisco, Copenhagen, Seoul, and London. Your Role in Our Mission: As an AI Lead / ML Engineering Manager, you will lead a team of AI/ML engineers building systems for AI-native EDA and advanced hardware workflows. This work sits at the intersection of applied ML, agents, model evaluation, software engineering, and semiconductor domain complexity. You will be responsible for setting technical direction, managing execution, developing engineers, and staying close to the implementation details that determine whether our systems work in practice. The team is building AI systems where correctness, traceability, and reliability matter, especially when agents are operating against formal or highly structured engineering problems. This is a hands-on leadership role for someone who has grown from strong individual contribution into technical leadership or management. You should be comfortable moving between architecture, model behavior, evaluation, implementation tradeoffs, hiring, and team development. The strongest candidates will have built meaningful AI/ML systems in technical domains where models need to operate against real constraints. Experience with LLMs, RL, agents, ML infrastructure, optimization, model evaluation, or AI applied to hardware, EDA, circuits, or engineering workflows is especially relevant. This direction maps well to the current internal signal at Normal, including work around auto-formalizing systems for advanced hardware, scalable AI systems, ML efficiency, and AI applied to semiconductor and circuit design workflows. Responsibilities: - Lead and manage a team of AI/ML engineers - Set technical direction for applied AI and ML engineering work across Normal’s