About this role We are looking for a world-class ML leader to architect and own our AI roadmap. This is a foundational role that will work closely with the founders to define the technical trajectory across our platform, including code generation, reinforcement learning, layout optimization etc.

You'll lead a growing ML team and work cross-functionally to turn cutting-edge research into usable tools for chip engineers. You should bring deep expertise in ML for chip design, as well as leadership experience in high-performance engineering teams.

Responsibilities

• Contribute to building the ML roadmap and research strategy for Architect across RTL and PD domains.
• Architect and deploy novel agent-based systems, including fine-tuning models for RTL Code generation, physical design tasks automation and hardware problem reasoning.
• Lead, mentor, and scale a team of top-tier ML engineers. Guide research direction, implementation standards, and modeling infrastructure.
• Interface with hardware engineers to identify bottlenecks in chip design pipelines that ML can solve.
• Stay ahead of state-of-the-art techniques in ML4EDA, agent orchestration, and model compression/deployment.

Tech stack 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