Head of AI

Head of AI responsible for architecting and owning the ML roadmap across RTL and PD domains, leading a growing ML team, and turning cutting-edge research into usable tools for chip engineers. Responsibilities include contributing to the ML roadmap and research strategy, architecting and deploying agent-based systems with fine-tuned models for RTL code generation, physical design automation, and hardware problem reasoning, mentoring and scaling top-tier ML engineers, interfacing with hardware engineers to identify bottlenecks in chip design pipelines solvable by ML, and staying ahead of state-of-the-art techniques in ML4EDA, agent orchestration, and model compression/deployment. Tech stack includes Python, PyTorch, RL libraries, Transformers, MLOps, JavaScript, TypeScript, Linux, RTL Code Generation, Physical Design Automation, Hardware Problem Reasoning, Agentic Systems, Fine-tuning Models, Multi-agent Orchestration, Reinforcement Learning.